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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details


Register CE_08C
Sun, 7/28/2019, 8:30 AM - 5:00 PM CC-403/404
Practical Considerations for Bayesian and Frequentist Adaptive Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Bayesian Statistical Science
Instructor(s): Peter Müller, University of Texas Austin; Byron Jones, Novartis Pharma AG; Frank Bretz, Novartis Pharma AG
Clinical trials play a critical role in pharmaceutical drug development. New trial designs often depend on historical data, which, however, may not be accurate for the current study due to changes in study populations, patient heterogeneity, or different medical facilities. As a result, the original plan and study design may need to be adjusted or even altered to accommodate new findings and unexpected interim results. Through carefully thought-out and planned adaptation, the right dose can be identified faster, patients can be treated more effectively, and treatment effects evaluated more efficiently. This one-day short course will introduce various adaptive methods for Phase I to Phase III clinical trials using both, frequentist and Bayesian methods. Accordingly, different types of adaptive designs will be introduced and practical considerations will be illustrated with case studies. Types of adaptive clinical trial designs covered in this course include dose escalation/de-escalation and dose insertion based on observed data, adaptive dose finding studies using optimal designs to allocate new cohorts of patients based on the accumulated evidence, blinded and unblinded sample size reestimation as well as adaptive designs for confirmatory trials with treatment or population selection at interim.
8:30 AM Practical Considerations for Bayesian and Frequentist Adaptive Clinical Trials (ADDED FEE)
Byron Jones, Novartis Pharma AG; Frank Bretz, Novartis Pharma AG; Peter Müller, University of Texas Austin
 
 

Register 1
Sun, 7/28/2019, 12:30 PM - 1:50 PM H-Centennial Ballroom F
SPAIG Committee Speaker with Lunch (Added Fee) — Roundtables Speaker with Lunch
Stats. Partnerships Among Academe Indust. & Govt. Committee, Biopharmaceutical Section, Section on Bayesian Statistical Science
SL01: Considerations in Bayesian Framework Implementation and Impact on Small-Population Clinical Development
Freda Cooner, Amgen
 
 

6 *
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-605
Advocating, Implementing and Explaining Bayesian Analyzes in Statistical Consultations — Invited Papers
Section on Statistical Consulting, Section on Statistics and Data Science Education, Section on Bayesian Statistical Science
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Bruce A. Craig, Purdue University
2:05 PM The Jury Is Out: Communicating Bayesian Statistics in a Courtroom Trial
Mark Glickman, Harvard University
2:30 PM Bayesian Clinical Trial Consulting
Presentation
Scott Berry, Berry Consultants
2:55 PM The Primordial Soup for Bayesian Analysis in Collaborative Settings: Technical Skill, Communication, and Trust
Christopher Franck, Virginia Tech
3:20 PM Discussant: Chris Holloman, Information Control Company
3:40 PM Floor Discussion
 
 

20 * !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-708
Bayesian Additive Regression Trees: Making an Impact — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Royal Statistical Society
Organizer(s): Rodney Sparapani, Medical College of Wisconsin
Chair(s): Robert McCulloch, Arizona State University
2:05 PM On Theory for BART
Presentation
Enakshi Saha, University of Chicago; Veronika Rockova, University of Chicago
2:25 PM Bayesian Tree Models for Continuous Treatment Effects
Jared S Murray, University of Texas at Austin
2:45 PM XBART: Accelerated Bayesian Additive Regression Trees
Presentation
P. Richard Hahn, Arizona State University; Jingyu He, Chicago Booth
3:05 PM Nonparametric Survival Analysis with Dirichlet Processes Mixtures and Heteroskedastic Bayesian Additive Regression Trees
Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, Arizona State University; Matthew Pratola; Brent R. Logan, Medical College of Wisconsin; Prakash Laud, Medical College of Wisconsin
3:25 PM Adaptive Splitting Bayesian Regression Tree Models for Image Analysis
Matthew Pratola; David Higdon, Virginia Tech
3:45 PM Floor Discussion
 
 

22 * !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-707
Testing and Evaluation of High-Dimensional Models — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Steve MacEachern, The Ohio State University
Chair(s): Juhee Lee, University of California, Santa Cruz
2:05 PM Detection of Common-Variance Subspace and Its Application to Classification
Jiae Kim, The Ohio State University; Steve MacEachern, The Ohio State University
2:25 PM Horseshoes, Shape Mixing, and Ultra-Sparse Locally Adaptive Shrinkage
Presentation
Andrew Womack, Indiana University
2:45 PM Comparing and Combining Forecast Distributions Having Different Dimensions
Catherine Forbes, Monash University
3:05 PM Inconvenient Diagnostics and Corrections for Convenience Samples
Eloise Kaizar, Ohio State University
3:25 PM Model Misspecification and Familial Null Hypotheses
Presentation
Steve MacEachern, The Ohio State University
3:45 PM Floor Discussion
 
 

32
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-106
Statistical Methods in Dose-Finding Studies — Contributed Papers
Biopharmaceutical Section, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Kevin Gan, GlaxoSmithKline
2:05 PM Flexible Bayesian Semiparametric Designs for Dose-Finding with Multiple Populations
Presentation
Jianchang Lin, Takeda Pharmaceuticals; Mo Li, Yale University; Rachael Liu, Takeda Pharmaceuticals ; Veronica Bunn, Takeda Pharmaceuticals; Hongyu Zhao, Yale
2:20 PM Design Consideration in Phase 2 Dose Response Trial in the Presence of Possible Non-Monotonicity -- Comparison of Bayesian Emax and NDLM Model
Feng Liu, AstraZeneca; Stephen Walters, University of Sheffield; Steven Julious, University of Sheffield
2:35 PM Bayesian Hierarchical EMAX Model for Dose-Response in Early Phase Efficacy Clinical Trials
Presentation
Byron Gajewski, University of Kansas Medical Center, The University of Kansas Cancer; Caitlyn Meinzer, Medical University of South Carolina; Scott Berry, Berry Consultants; Gayland L Rockswold, Hennepin County Medical Center; William G Barsan, University of Michigan; Frederick K Korley, University of Michigan; Renee' H Martin, Medical University of South Carolina
2:50 PM Bayesian Method Based Dose Escalation in Clinical Trials with Combination Therapy
Presentation
Shanmei Liao, BeiGene; Theis Lange, University of Copenhagen, section of biostatistics
3:05 PM A Comparison of the Up-And-Down or Biased Coin Design to the Continual Reassessment Method for Phase I Dose Finding Studies
Robert A. Perera, VCU Department of Biostatistics; Roy T Sabo, Virginia Commonwealth University; Adam Sima, Virginia Commonwealth University
3:20 PM Bayesian Dose-Finding Model with Adaptive Time-To-Event Weight Incorporating Cycle Information for Immuno-Oncology Studies
Zhaowei Hua, Alnylam Pharmaceuticals, Inc.; Yutong Li, University of Illinois at Urbana-Champaign; Ying Yuan, Takeda Pharmaceutical Company Ltd ; Dan Zhao, Takeda Pharmaceutical Company Ltd
3:35 PM Floor Discussion
 
 

34
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-706
Foundations in Bayesian Statistics — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Xinyi Li, SAMSI
2:05 PM Posterior Consistency of Tail Index for Bayesian Kernel Mixture Models
Cheng Li, National University of Singapore; Lizhen Lin, University of Notre Dame; David Dunson, Duke University
2:20 PM Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records
Presentation
Yang Ni, Texas A&M University; Peter Müller, University of Texas Austin; Yuan Ji, The University of Chicago
2:35 PM The Scale Transformed Power Prior with Applications to Studies with Different Endpoints
Brady Nifong, UNC Department of Biostatistics; Matthew A. Psioda, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
2:50 PM Interpreting P-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors
Presentation
Michael Fay, National Institute of Allergy and Infectious Diseases; Michael Proschan, National Institute of Allergy and Infectious Diseases; Erica Brittain, National Institute of Allergy and Infectious Diseases; Ram Tiwari, CDRH, FDA
3:05 PM Quantification of Borrowing of Strength in Hierarchical Bayes Models
Prasenjit Ghosh, Texas A & M University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
3:20 PM A Unified Treatment of Posterior Asymptotics in Sparse Regression Models
Seonghyun Jeong, North Carolina State University; Subhashis Ghosal, North Carolina State University
3:35 PM Bayesian Inference of Non-Probability Samples
ZHIQING XU, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
 
 

43
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-105
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 1 — Contributed Speed
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Andrew Swift, University of Nebraska at Omaha
Poster Presentations for this session.
2:05 PM Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept
Presentation 1 Presentation 2
Oluwagbenga Agboola, University of Northern Colorado
2:10 PM Quantifying the Deception of an MLB Pitch
Presentation
Jason Wilson, Biola University
2:15 PM Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball
Presentation
Thomas Rhomberg
2:20 PM Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores
Elizabeth Jewell, University of Michigan
2:25 PM Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets
Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
2:30 PM Is There Racial Bias in NFL Roughing the Passer Calls?
Presentation
Nilesh Shah, University of Pittsburgh
2:35 PM Longevity of NFL Players
Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
2:40 PM Determining Optimal Skills for Beach Volleyball Partners
Presentation
Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
2:45 PM A SHINY Markov Machine for Decision-Making in Major League Baseball
Presentation
Jason Osborne, North Carolina State University
3:00 PM Meta-Analysis to Quantify Properties of Quarterback Metrics
Presentation
Julia Stiller; Michael Lopez, Skidmore College
3:05 PM Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
3:10 PM The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns
Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
3:15 PM Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables
Presentation
Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
3:20 PM Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression
Presentation
Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
3:25 PM Information Theoretic Measures of Diversity
Presentation
Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
3:30 PM Bayesian Semiparametric ROC Surface Estimation Under Verification Bias
Presentation
Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
3:35 PM Statistical Inference for L-Moments of Specific, Common Distributions
Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
3:40 PM Floor Discussion
 
 

47 !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-708
Highlights from Bayesian Analysis — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Bruno Sanso, University of California Santa Cruz
Chair(s): Bruno Sanso, University of California Santa Cruz
4:05 PM Bayesian Method for Causal Inference in Spatially Correlated Multivariate Time Series
Presentation
Bo Ning, Yale University
4:30 PM Big Data Bayesian Linear Regression and Variable Selection by Normal-Inverse-Gamma Summation
Presentation
Hang Qian, The MathWorks, Inc.
4:55 PM Bayesian Analysis of Dynamic Linear Topic Models
Presentation
Christopher Glynn, University of New Hampshire; Surya Tokdar, Duke University; David Banks, SAMSI/Duke University; Brian Howard, Sciome, LLC
5:20 PM Variational Message Passing for Elaborate Response Regression Models
Presentation
Matt Paul Wand, University of Technology Sydney; Matt McLean, University of Technology Sydney
5:45 PM Floor Discussion
 
 

67 !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-203
Believable Big Bayes: Large-Scale Bayesian Inference with Finite-Data Guarantees — Topic Contributed Papers
SSC, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Section on Statistical Computing
Organizer(s): Trevor Campbell, University of British Columbia
Chair(s): Tamara Broderick, Massachusetts Institute of Technology
4:05 PM Variational Inference You Can Trust: a New Approach to Boosting
Trevor Campbell, University of British Columbia
4:25 PM A Scalable, Robust Bayesian Approach to Finding Mutational Signatures in Human Cancer
Jonathan Huggins, Harvard School of Public Health
4:45 PM Detecting Anomalous Structure in Multivariate Data Streams
Alexander Fisch, Lancaster University; Idris Eckley, Lancaster University; Paul Fearnhead, Lancaster University
5:05 PM Diffusion-Stein Sample Quality Measures for Distributions in Finite and Infinite Dimensions
Andrew Duncan, Imperial College London
5:25 PM Generalized Bilinear Models for Bias Correction in Large-Scale Genomics Data
Jeffrey Miller, Harvard TH Chan School of Public Health
5:45 PM Floor Discussion
 
 

87
Sun, 7/28/2019, 4:00 PM - 4:45 PM CC-Hall C
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 2 — Contributed Poster Presentations
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
16: Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept
Oluwagbenga Agboola, University of Northern Colorado
17: Quantifying the Deception of an MLB Pitch
Jason Wilson, Biola University
18: Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball
Thomas Rhomberg
19: Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores
Elizabeth Jewell, University of Michigan
20: Is There Racial Bias in NFL Roughing the Passer Calls?
Nilesh Shah, University of Pittsburgh
21: Longevity of NFL Players
Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
22: Determining Optimal Skills for Beach Volleyball Partners
Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
23: A SHINY Markov Machine for Decision-Making in Major League Baseball
Jason Osborne, North Carolina State University
25: Meta-Analysis to Quantify Properties of Quarterback Metrics
Julia Stiller; Michael Lopez, Skidmore College
26: Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
27: Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables
Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
28: Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression
Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
29: Information Theoretic Measures of Diversity
Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
30: Bayesian Semiparametric ROC Surface Estimation Under Verification Bias
Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
31: The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns
Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
32: Statistical Inference for L-Moments of Specific, Common Distributions
Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
33: Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets
Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
Oral Presentations for this session.
 
 

107 !
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-203
The ABC of Making an Impact — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS
Organizer(s): Antonietta Mira, Università della Svizzera italiana and Università dell'Insubria
Chair(s): Christian Robert, Ceremade - Université Paris-Dauphine
8:35 AM Simulated Annealing ABC (SABC) and Its Application to a Stochastic Solar Dynamo Model
Presentation
Carlo Albert, Swiss Federal Institute of Aquatic Science and Technology (Eawag)
9:05 AM ABC and Forests: Where We Are and Where We Are Going
Louis Raynal, Alexander Grothendieck Montpellier Institute, University of Montpellier; Alice Cleynen, Alexander Grothendieck Montpellier Institute, University of Montpellier; Jean-Michel Marin, Alexander Grothendieck Montpellier Institute, University of Montpellier
9:35 AM Loss-Based Bayesian Prediction
Presentation
David Frazier, Monash University; Gael Martin, Monash University; Ruben Loaiza-Maya, Monash University
10:05 AM Floor Discussion
 
 

121 *
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-708
Handling Large Dimensionality, Skewness and Non-Stationarity Through Multi-Resolution Spatial Modeling — Topic Contributed Papers
Section on Statistics and the Environment, Section on Bayesian Statistical Science, Section on Statistical Computing
Organizer(s): Veronica J. Berrocal, University of Michigan
Chair(s): Veronica J. Berrocal, University of Michigan
8:35 AM Models for Large Multivariate Spatial Data
Soutir Bandyopadhyay, Colorado School of Mines
8:55 AM A Bi-Resolution Spatial Model Based on the Skew-T Distribution
Stefano Castruccio, University of Notre Dame; Felipe Tagle, University of Notre Dame; Marc Genton, King Abdullah University of Science and Technology
9:15 AM Using the MRA Approximation to Integrate Multiple Data Sources on Temperature
Presentation
Colin Lewis-Beck; Veronica J. Berrocal, University of Michigan; Joon Jin Song, Baylor University
9:35 AM Multi-Scale Models for Large Non-Stationary Spatial Data Sets
Bruno Sanso, University of California Santa Cruz; Daniel Kirsner, University of California Santa Cruz; Rajarshi Guhaniyogi, University of California, SC
9:55 AM Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
Andrew Finley, Michigan State University; Shinichiro Shirota, University of California, Los Angeles; Sudipto Banerjee, UCLA
10:15 AM Floor Discussion
 
 

128
Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-103
SPEED: Biometrics and Biostatistics Part 1 — Contributed Speed
Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section, Section on Bayesian Statistical Science
Chair(s): Caroline Ledbetter, University of Colorado
Poster Presentations for this session.
8:35 AM Oversampling and Replacement Strategies in Propensity Score Matching: a Critical Review Focused on Small Samples
Presentation
Daniele Bottigliengo, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova; Jonida Bejko, University of Brescia; Tomaso Bottio, University of Padova; Vincenzo Tarzia, University of Padova; Massimiliano Carrozzini, University of Padova; Gino Gerosa, University of Padova; Paola Berchialla, University of Torino; Dario Gregori, University of Padova
8:40 AM A Concordance Statistic for Survival Analysis with a Censored Predictor
Presentation
Kai Ding, University of Oklahoma Health Sciences Center; Justin Dvorak, University of Oklahoma Health Sciences Center
8:45 AM Meta-Analysis of Binary Outcomes Combining Individual Patient Data and Aggregate Data
Presentation
Neha Agarwala, University of Maryland - Baltimore County; Anindya Roy, University of Maryland - Baltimore County
8:50 AM Multiplicity Adjustment in Clinical Trials
Presentation
Michael Proschan, National Institute of Allergy and Infectious Diseases; Erica Brittain, National Institute of Allergy and Infectious Diseases
8:55 AM Hierarchical Likelihood Approach for Joint Models of Longitudinal Non-Survival Responses and Survival Data: a Semiparametric Model with Gamma Shared Random Effects
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Karl Stessy Bisselou, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center; Gleb Haynatzki, University of Nebraska Medical Center
9:00 AM A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data
Presentation
Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
9:05 AM Synthetic Data Method to Incorporate External Information into a Current Study
Presentation
Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
9:10 AM Predicting the Cross-Validated Penalty Parameter in Nodewise Lasso Regression
Presentation
Mo Huang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:15 AM Statistical Assessment of Bovine Body Weight via Functional Gait Data
Andrew Raim, US Census Bureau; Nagaraj Neerchal, University of Maryland, Baltimore County; Dan Tasch, Step Analysis LLC; Uri Tasch, Step Analysis LLC
9:20 AM Adaptive Design with Biomarker Population Deselection and Enrichment for Oncology Trials
Pingye Zhang; Yue Shentu, Merck & Co., Inc.; Qi Liu, Merck & Co., Inc.
9:30 AM Unblinded Sample Size Re-Estimation for Ordinal Data
Huaihou Chen, Biogen; Ray Zhang, Biogen; Weihua Tang, Biogen; Li Zhu, Biogen; Chunlei Ke, Biogen
9:35 AM A Natural Lead-In Approach to Response-Adaptive Allocation
Erin Donahue, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
9:40 AM Bayesian Analysis of Mixed Continuous and Time-To-Event Outcomes with Latent Variables
Presentation
Xinyuan Song, The Chinese University of Hong Kong; Deng Pan, Huazhong University of Science and Technology
9:45 AM Survival Analyzes in the Presence of Unadjudicated Events
Presentation
Rakhi Kilaru, Pharmaceutical Product Development; Andrew Montgomery Hartley, Pharmaceutical Product Development
9:50 AM A Comparison of Stacked and Pooled Multiple Imputation
Presentation
Paul Bernhardt, Villanova University
9:55 AM Design of a Phase 3 Trial for an Acute Treatment of a Rare Disease with Episodic Attacks
Presentation
Sharon Murray
10:00 AM Quantitative Decision Making (QDM) in Phase I/II Studies
Presentation 1 Presentation 2
Kevin Gan, GlaxoSmithKline; Jonathan Haddad , GlaxoSmithKline
10:05 AM Bayesian Modeling of Rare Events with Informative Censoring in Meta-Analysis
Xinyue Qi, UT MD Anderson Cancer Center; Yucai Wang, Mayo Clinic; Chan Shen, College of Medicine, Penn State University; Michael Wang, The University of Texas MD Anderson Cancer Center; Shouhao Zhou, PennState College of Medicine
10:10 AM A Bayesian Approach with Propensity Score for Confounding Control with Case Study in Non-Medical Switch Real World Observational Studies
Zhenyi Xue, AbbVie; Hongwei Wang, AbbVie Inc.
10:15 AM Floor Discussion
 
 

Register CE_14C
Mon, 7/29/2019, 8:30 AM - 5:00 PM CC-401/402
Bayesian Time Series Analysis and Forecasting (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Bayesian Statistical Science
Instructor(s): Raquel Prado, UC Santa Cruz-Baskin School of Engineering; Marco Ferreira, Virginia Tech; Mike West, Duke University
This short-course covers basic principles and methods of Bayesian dynamic modeling in time series analysis and forecasting, with methodological details of central model classes explored in a range of examples. A main focus is on dynamic linear models— structure, inference, forecasting— including stationary and non-stationary time series and volatility modelling. Following detailed coverage and examples of univariate time series analysis, the course extends to linked systems of univariate series defining specific classes of multivariate models, and goes further in multivariate contexts with dynamic factor models. Aspects of simulation-based computation—forward simulation for forecasting, forward-backward simulation for analysis of state-space models, and MCMC methods for models with parameters and latent states going beyond the linear/Gaussian framework—are included. The course draws on a range of examples from business, finance, signal processing, environmental sciences, and the biomedical sciences.
8:30 AM Bayesian Time Series Analysis and Forecasting (ADDED FEE)
Marco Ferreira, Virginia Tech; Raquel Prado, UC Santa Cruz-Baskin School of Engineering
 
 

146
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-605
Scaling up Bayesian Inference for Massive Data Sets — Invited Papers
IMS, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Trevor Campbell, University of British Columbia; David Dunson, Duke University; Jonathan Huggins, Harvard University
Chair(s): Jonathan Huggins, Harvard University
10:35 AM Continuous-Time Monte Carlo and Scalable Bayesian Inference
Presentation
Paul Fearnhead, Lancaster University
11:00 AM Scalable Gaussian Process Inference with Finite-Data Mean and Variance Guarantees
Presentation
Tamara Broderick, Massachusetts Institute of Technology
11:25 AM Gaussian Variational Approximation for High-Dimensional State Space Models
Presentation
Robert Kohn, University of New South Wales
11:50 AM Some Applications of Approximate MCMC
Presentation
Anirban Bhattacharya, TAMU
12:15 PM Floor Discussion
 
 

160 *
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-110
Editor's Choice: Papers Published in the American Statistician During 2018 — Topic Contributed Papers
Biometrics Section, Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science
Organizer(s): Daniel Jeske, University of California, Riverside
Chair(s): Daniel Jeske, University of California, Riverside
10:35 AM Abandon Statistical Significance
Blakeley McShane, Northwestern University; Andrew Gelman, Columbia University; Christian Robert, Ceremade - Université Paris-Dauphine ; David Gal, University of Illinois at Chicago; Jennifer Tackett, Northwestern University
10:55 AM On Mixture Alternatives and Wilcoxon’s Signed-Rank Test
Presentation
Jonathan Rosenblatt, Ben Gurion University of the Negev; Yoav Benjamini, Tel Aviv University
11:15 AM A Bayesian Survival Analysis of a Historical Dataset: How Long Do Popes Live?
Presentation
Luciana Dalla Valle, University of Plymouth; Julian Stander, University of Plymouth; Mario Cortina-Borja, UCL GOS Institute of Child Health
11:35 AM Guns and Suicides
Presentation
Danilo Santa Cruz Coelho, Instituto de Pesquisa Econômica Aplicada; Daniel Cerqueira, Instituto de Pesquisa Econômica Aplicada; Marcelo Fernandes, Sao Paulo School of Economics, FGV; Jony Pinto Junior, Universidade Federal Fluminense
11:55 AM Forecasting at Scale
Sean Taylor , Facebook
12:15 PM Floor Discussion
 
 

162
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-705
SBSS Student Paper Award Session - I — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Surya Tokdar, Duke University
Chair(s): Surya Tokdar, Duke University
10:35 AM A Hierarchical Spatio-Temporal Statistical Model Motivated by Glaciology
Giri Gopalan, University of Iceland; Birgir Hrafnkelsson, University of Iceland; Christopher K. Wikle, University of Missouri; Håvard Rue, King Abdullah University of Science and Technology; Guðfinna Th Aðalgeirsdóttir, University of Iceland; Alexander H. Jarosch, University of Innsbruck; Finnur Pálsson, University of Iceland
10:55 AM Bayesian Hierarchical Modeling on Covariance Valued Data
Presentation
Satwik Acharyya, Texas A&M University; Zhengwu Zhang, University of Rochester Medical Center; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
11:15 AM A New Class of Unimodal, Asymmetric, Heavy-Tailed Densities with Applications to Regression and Time-Series Models
Li Kang, University of Texas At Austin
11:35 AM Maximum Entropy Based Probabilistic Mass-Radius Relation of Exoplanets
Qi Ma, North Carolina State University; Sujit Ghosh, North Carolina State Univ.
11:55 AM Survival Average Causal Effects for Continuous Time: a Principal Stratification Approach to Causal Inference with Semicompeting Risks
Presentation
Leah Comment, Harvard Biostatistics
12:15 PM Floor Discussion
 
 

164 * !
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-112
FDA Adaptive Designs and Master Protocols Guidance for Clinical Trials – Reflection and Outlook — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Aijun Gao, Covance/Chiltern; Fanni Natanegara, Eli Lilly and Company; Shiling Ruan, Novartis
Chair(s): Aijun Gao, Covance/Chiltern
10:35 AM How the 2018 FDA Adaptive Design Draft Guidance Can Help to Increase the Use of Adaptive Designs in Industry
Presentation
David Manner, Eli Lilly & Company
10:55 AM Increasing Efficiency of Oncology POC Studies Using Bayesian Adaptive Approach
Rong Liu, Celgene Co.
11:15 AM Finding a Balance of Synergy and Flexibility in Master Protocols
Presentation
Melanie Quintana, Berry Consultants; Scott Berry, Berry Consultants
11:35 AM Points to Consider in the Design of Adaptive Platform Clinical Trials in Non-Alcoholic Steatohepatitis
Presentation
Peter Mesenbrink, Novartis Pharmaceuticals
11:55 AM Discussant: Telba Irony, FDA CBER
12:15 PM Floor Discussion
 
 

168
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-501
SPEED: Environmental Statistics Methods and Applications, Part 1 — Contributed Speed
Section on Statistics and the Environment, Section on Bayesian Statistical Science
Chair(s): Trevor Hefley, Kansas State University
Poster Presentations for this session.
10:35 AM Bias Correction of Bounded Location Error in Binary Data
Presentation
Nelson Walker, Kansas State University; Trevor Hefley, Kansas State University; Daniel Walsh, US Geological Survey
10:40 AM Marked Determinantal Point Processes
Presentation 1 Presentation 2
Yiming Feng, Florida State University; Fred Huffer, Florida State University
10:45 AM A Meta-Analysis of Bald and Golden Eagle Productivity Accounting for Spatial and Temporal Studies
Presentation
Mark Otto, Fish and Wildlife Service
10:50 AM Multi-Scale Vecchia Approximations of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A & M University
10:55 AM Yield Forecasting Based on Short Time Series with High Spatial Resolution Data
Sayli Pokal, University of Nebraska-Lincoln; Yuzhen Zhou, University of Nebraska Lincoln; Trenton Franz, University of Nebraska Lincoln
11:00 AM Statistical Postprocessing for Seasonal Weather Forecasts
Presentation
Claudio Heinrich
11:05 AM Reconstruction of Alnus Viridis Glacial Refugia Through Data Integration
Presentation
Mauricio Campos, University of Illinois at Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Shreya Khurana, University of Illinois at Urbana Champaign; Joseph Napier, University of Illinois at Urbana Champaign; Guillaume deLafontaine, Université du Québec à Rimouski UQAR; Feng Sheng Hu, University of Illinois at Urbana Champaign
11:10 AM Characterization of Spatial and Temporal Trends of Extreme Precipitation Using Functional Principal Component Analysis
Miyabi Ishihara, UC Berkeley; Christopher Paciorek, University of California; Mark Risser, Lawrence Berkeley National Laboratory; Michelle Yu, University of California, Berkeley
11:15 AM Impact of ENSO and NAO on Extreme Monthly Precipitation of the USA
Presentation
BHIKHARI THARU, Spelman College
11:20 AM Predictive Model Checking of a Wildlife Occupancy Model with a Partially-Known Stopping Rule
Presentation
Aaron Springford, Weyerhaeuser; Jay Jones, Weyerhaeuser
11:30 AM Prenatal Exposure to PM2.5 Species and DNA Methylation in Newborns: a Novel Statistical Framework
Jenny Lee, Harvard School of Public Health; Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School; Andres Cardenas, University of California, Berkeley - School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health
11:35 AM Benefits of Monte Carlo Imputation of Non-Detects in Environmental Data
Presentation 1 Presentation 2
Kirk Cameron, Macstat Consulting, Ltd.
11:40 AM Trend Assessment for Daily Snow Depths with Changepoints Considerations
Presentation
Jaechoul Lee, Boise State University; Robert Lund, Clemson University; Jonathan Woody, Mississippi State University; Yang Xu, Mississippi State University
11:45 AM Classifying Geographic Regions with Imperfect Labels
Forrest Paton, McMaster University; Paul D McNicholas, McMaster University
11:50 AM Temporal Effects Comparison Across Four Treatments Applied to Ponderosa Pine for the Suppression and Prevention of Elytroderma Needle Disease
Presentation
Ekaterina Smirnova, Virginia Commonwealth University; Joel M Egan, US Forest Service; Leonid Kalachev, University of Montana; John Goodburn, University of Montana; Kathleen Mckeever, US Forest service
11:55 AM A Daily Rainfall Model for Multiple Sites for Use in Statistical Downscaling
Yiming Liu, University of New Hampshire; Ernst Linder, University of New Hampshire
12:00 PM Uncertainty Quantification for Joint Retrieval of Temperature, Humidity, and Cloud States from Satellite Data
Jonathan Hobbs, Jet Propulsion Laboratory
12:05 PM Spatially Informed Aggregation of Orbiting Carbon Observatory Measured XCO2 for Global Flux Inversion
Presentation
Joaquim Teixeira, NASA Jet Propulsion Laboratory
12:10 PM Bayesian Analysis of Multifidelity Computer Models with Local Features and Non-Nested Experimental Designs
Presentation
Bledar Konomi, University of Cincinnati; Georgios Karagiannis, Durham University
12:15 PM Floor Discussion
 
 

176
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-701
Bayesian Mixture Modeling, Clustering and Unsupervised Learning — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Mengyang Gu, Johns Hopkins University
10:35 AM Mixed Bayesian Additive Regression Trees for Random Effects
Presentation
Charles Spanbauer, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin
10:50 AM Divide and Conquer Algorithm of Bayesian Density Estimation
Presentation
Ya Su, University of Kentucky
11:05 AM A Bayesian Nonparametric Approach to Clustering Data at Multiple Resolutions
Cecilia Balocchi, University of Pennsylvania; Shane T. Jensen, University of Pennsylvania
11:20 AM Nonparametric Bayesian Functional Clustering for Breast Cancer Disparities
Presentation
Wenyu Gao, Virginia Tech; Wonil Nam, Bradley Department of Electrical and Computer Engineering, Virginia Tech; Inyoung Kim, Virginia Tech; Wei Zhou, Bradley Department of Electrical and Computer Engineering, Virginia Tech
11:35 AM Multivariate Functional Factor Models with Time-Varying Clustering
Presentation
Philip Andrew White, Duke University; Alan E Gelfand, Duke University
11:50 AM Bayesian Subgroup Analysis in Regression Using Mixture Models
Yunju Im, University of Iowa; Aixin Tan, University of Iowa
12:05 PM Mixtures of Multivariate Skew Normal Generalised Hyperbolic Factor Analyzer Models in a Bayesian Framework
Darren Wraith, Queensland University of Technology; Mohsen Maleki, Shiraz University, Iran
 
 

196
Mon, 7/29/2019, 11:35 AM - 12:20 PM CC-Hall C
SPEED: Biometrics and Biostatistics Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section, Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21: Oversampling and Replacement Strategies in Propensity Score Matching: a Critical Review Focused on Small Samples
Daniele Bottigliengo, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova; Jonida Bejko, University of Brescia; Tomaso Bottio, University of Padova; Vincenzo Tarzia, University of Padova; Massimiliano Carrozzini, University of Padova; Gino Gerosa, University of Padova; Paola Berchialla, University of Torino; Dario Gregori, University of Padova
22: A Concordance Statistic for Survival Analysis with a Censored Predictor
Kai Ding, University of Oklahoma Health Sciences Center; Justin Dvorak, University of Oklahoma Health Sciences Center
23: Meta-Analysis of Binary Outcomes Combining Individual Patient Data and Aggregate Data
Neha Agarwala, University of Maryland - Baltimore County; Anindya Roy, University of Maryland - Baltimore County
24: Multiplicity Adjustment in Clinical Trials
Michael Proschan, National Institute of Allergy and Infectious Diseases; Erica Brittain, National Institute of Allergy and Infectious Diseases
25: A Comparison of Stacked and Pooled Multiple Imputation
Paul Bernhardt, Villanova University
26: Hierarchical Likelihood Approach for Joint Models of Longitudinal Non-Survival Responses and Survival Data: a Semiparametric Model with Gamma Shared Random Effects
Karl Stessy Bisselou, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center; Gleb Haynatzki, University of Nebraska Medical Center
27: A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data
Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
28: Synthetic Data Method to Incorporate External Information into a Current Study
Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
29: Predicting the Cross-Validated Penalty Parameter in Nodewise Lasso Regression
Mo Huang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
30: Statistical Assessment of Bovine Body Weight via Functional Gait Data
Andrew Raim, US Census Bureau; Nagaraj Neerchal, University of Maryland, Baltimore County; Dan Tasch, Step Analysis LLC; Uri Tasch, Step Analysis LLC
31: Adaptive Design with Biomarker Population Deselection and Enrichment for Oncology Trials
Pingye Zhang; Yue Shentu, Merck & Co., Inc.; Qi Liu, Merck & Co., Inc.
32: Unblinded Sample Size Re-Estimation for Ordinal Data
Huaihou Chen, Biogen; Ray Zhang, Biogen; Weihua Tang, Biogen; Li Zhu, Biogen; Chunlei Ke, Biogen
34: A Natural Lead-In Approach to Response-Adaptive Allocation
Erin Donahue, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
35: Survival Analyzes in the Presence of Unadjudicated Events
Rakhi Kilaru, Pharmaceutical Product Development; Andrew Montgomery Hartley, Pharmaceutical Product Development
36: Design of a Phase 3 Trial for an Acute Treatment of a Rare Disease with Episodic Attacks
Sharon Murray
37: Bayesian Modeling of Rare Events with Informative Censoring in Meta-Analysis
Xinyue Qi, UT MD Anderson Cancer Center; Yucai Wang, Mayo Clinic; Chan Shen, College of Medicine, Penn State University; Michael Wang, The University of Texas MD Anderson Cancer Center; Shouhao Zhou, PennState College of Medicine
38: Bayesian Analysis of Mixed Continuous and Time-To-Event Outcomes with Latent Variables
Xinyuan Song, The Chinese University of Hong Kong; Deng Pan, Huazhong University of Science and Technology
39: A Bayesian Approach with Propensity Score for Confounding Control with Case Study in Non-Medical Switch Real World Observational Studies
Zhenyi Xue, AbbVie; Hongwei Wang, AbbVie Inc.
40: Quantitative Decision Making (QDM) in Phase I/II Studies
Kevin Gan, GlaxoSmithKline; Jonathan Haddad , GlaxoSmithKline
Oral Presentations for this session.
 
 

231
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-105
SBSS Student Paper Award Session II — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Robert Gramacy, Virginia Tech
Chair(s): Robert Gramacy, Virginia Tech
2:05 PM Function-On-Scalar Quantile Regression with Application to Mass Spectrometry Proteomics Data
Presentation
Yusha Liu; Meng Li, Rice University; Jeffrey S. Morris, M.D. Anderson Cancer Center
2:25 PM Frequentist Consistency of Variational Bayes
Yixin Wang; David Blei, Columbia University
2:45 PM Fitting Stochastic Epidemic Models to Gene Genealogies Using Linear Noise Approximation
Presentation 1 Presentation 2
Mingwei Tang, University of Washington; Gytis Dudas, Fred Hutchinson Cancer Research Center; Trevor Bedford, Fred Hutchinson Cancer Research Center; Vladimir Minin, University of California, Irvine
3:05 PM On Posterior Contraction of Parameters and Interpretability in Bayesian Mixture Modeling
Presentation
Aritra Guha, University of Michigan
3:25 PM Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David Dunson, Duke University
3:45 PM Floor Discussion
 
 

237
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-501
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 1 — Contributed Speed
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Poster Presentations for this session.
2:05 PM Multivariate Association Analysis with Correlated Traits in Families
Presentation
Souvik Seal, Division of Biostatistics, University of Minnesota
2:10 PM Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study
Presentation
Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
2:15 PM Rare Variant Association Tests for Multiple Ancestries Using Common Controls
Presentation
Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
2:20 PM GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics
Wei Jiang, Yale University; Hongyu Zhao, Yale
2:25 PM Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies
Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
2:25 PM Sparse Mediation Analysis Using Mixture Models
Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
2:30 PM Fine Mapping Causal Variants with Functional Annotations
Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
2:35 PM Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait
Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
2:40 PM Trait Evolution on Two Gene Trees
Presentation
James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
2:45 PM Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies
Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
2:50 PM An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region
Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
3:00 PM Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics
Presentation
Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
3:05 PM A Flexible Bayesian Framework to Study Viral Trait Evolution
Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
3:10 PM Fully Bayesian Imputation Model for MNAR Data in QPCR
Presentation
Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
3:15 PM Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models
Presentation
Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
3:20 PM Prediction with Microbiome Sequencing Data via Multi-Kernel Learning
Presentation
Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
3:25 PM A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree
Presentation
Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
3:30 PM A New Sparse Network Model for High-Throughput Count Data
Presentation
Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
3:35 PM A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data
Presentation
Shuang Jiang, Southern Methodist University
3:45 PM A Feature Allocation Model for Cytometry by Time-Of-Flight Data
Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center
 
 

238
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-103
SPEED: Environment and Health, Governmental Policies and Population Surveys, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, Government Statistics Section, Health Policy Statistics Section, Lifetime Data Science Section, Text Analysis Interest Group
Chair(s): James Lymp, Juno Therapeutics, A Celgene Company
Poster Presentations for this session.
2:05 PM Optimal Sampling Regimes for Estimating Population Dynamics
Presentation 1 Presentation 2
Rebecca Bergee
2:10 PM Application of Stochastic Search Variable Selection to Modeling Evacuation Ahead of Hurricane Irma
Presentation
Sierra Bainter, University of Miami; Caitlin Brown, University of Miami; Kiara Timpano, University of Miami
2:15 PM Bayesian Finite Population Estimates from a Two-Stage Sample with Spatial Correlation
Presentation
Alec M Chan-Golston, University of California, Los Angeles; Sudipto Banerjee, UCLA; Mark Handcock, University of California, Los Angles
2:20 PM Transitions Between Homelessness States(Safe Haven, Temporary Housing , Emergency Shelter and Unsheltered) Before and After Operation Rio Grande in the Salt Lake Metropolitan Area
Presentation
Prem Narayanan, Salt Lake County
2:25 PM Assessing to the Impact of Differential Response Rates Across National Health and Nutrition Examination Survey (NHANES) Locations
Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS/OAE/SPB; Tala Fakhouri, CDC/NCHS
2:30 PM A New Methodology for Frame Building and Sample Design for the State Heating Oil and Propane Program (SHOPP)
Presentation
Edgardo Cureg, U.S. Energy Information Administration (EIA); Marcela Bradbury, U.S. Energy Information Administration (EIA)
2:35 PM Report on Industry Births and Deaths in PPI Frames
Presentation
Andy Sadler, Bureau of Labor Statistics
2:40 PM Determining the Distance Between Countries of Latin America and the Caribbean Regarding Their Fulfillment of the SDGs in 2017
Presentation 1 Presentation 2
Andres Esteban Arguedas Leiva, University of Costa Rica
2:45 PM Providing Access to the Federal Information Base for Evidence Based Policy Making
Presentation 1 Presentation 2
Marilyn Seastrom, US Department of Education; Jennifer Nielsen, National Center for Education Statistics/IES/Dept of Education
2:50 PM Imputation as a Practical Alternative to Data Swapping
Presentation
Saki Kinney, RTI International; David Wilson, RTI International; Alan Karr, RTI International; Kelly Kang, NSF
3:00 PM Using Efficient Sampling Methods for Fixed-Margin Matrices to Assess Judicial Innovation
Presentation
Alex Fout
3:05 PM Examining Public Comments for Financial and Net Neutrality Regulations
Shawn Mankad, Cornell University; Abhinav Gaiha, Cornell University
3:10 PM Using Supervised Machine Learning to Classify Customer Input
Presentation 1 Presentation 2
Adrianna Steers-Smith, USDA/FSIS
3:15 PM Weighting Adjustments Can Help with Low Response Rates, but at What Cost to Data Quality?
Presentation
Chrishelle Lawrence, U.S. Energy Information Administration
3:20 PM Annualizing Energy Consumption in Residential Households in the 2015 RECS
Presentation
Jay Olsen, U.S. Department of Energy
3:25 PM Methodology for Allocating Municipal Solid Waste to Biogenic and Non-Biogenic Energy
Presentation
Joy Liu, US Department of Energy
3:30 PM On the Small Count Inflated Poisson Distribution
Michael Floren, Misericordia Univerisity; Trent L Lalonde, University of Northern Colorado
3:35 PM Conditional Survival Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Presentation
Danting Zhu; Douglas Schaubel, University of Michigan
3:40 PM Hyper Prior Dirichlet Partial Multinomial Logistic Regression Through Multiple Binary Responses for Mozambique HIV/AIDS
Diana Gonzalez, Arizona State University; Di Fang, University of Arkansas
3:45 PM Floor Discussion
 
 

245
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-101
Bayesian Inference in the Life Sciences and Medicine — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Furong Sun, Virginia Tech
2:05 PM Generalized Polya Urn Process Models for Bayesian Phylogenetic Inference
Mandev Gill, Rega Institute, KU Leuven; Philippe Lemey, Rega Institute, KU Leuven; Marc Suchard, UCLA; Guy Baele, Rega Institute / KU Leuven
2:20 PM Assessing Go/No-Go Decisions in Drug Development Under a Bayesian Paradigm Using Stan
Xiangyi Zhao, AbbVie Inc.; Alan Hartford, Takeda Pharmaceutical Company
2:35 PM A Latent Functional Approach to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence
Sungduk Kim, NIH; Paul Albert , National Cancer Insititute
3:05 PM Probabilistic Canonical Correlation Analysis for Multiple Groups
Lin Qiu, The Pennsylvania State University; Vernon Chinchilli, Pennsylvania State University
3:20 PM Overlapping Activity Patterns and Community Detection in Ecological Networks
Presentation
Wenna Xi, The Ohio State University; Catherine A. Calder, The Ohio State University; Christopher R. Browning, The Ohio State University
3:35 PM Bayesian Variable Selection and Bayesian Model Averaging for Predicting Environmental Phenomena
Joyee Ghosh, The University of Iowa
 
 

246
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-107
Bayesian Nonparametrics — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Pulong Ma, SAMSI/Duke University
2:20 PM A Bayesian Nonparametric Model for Upper Record Data
Joon Jin Song, Baylor University; Jung-In Seo, Daejeon University
2:35 PM Gaussian Process Classification with Network Inputs
Nathan Josephs, Boston University; Eric Kolaczyk, Boston University; Lizhen Lin, University of Notre Dame; Steve Rosenberg, Boston University
2:50 PM Scalable Bayesian Nonlinear SVMs for Big Data Problems
Sounak Chakraborty, University of Missouri, Columbia
3:05 PM Efficient Bayesian Shape-Constrained Function Estimation
Pallavi Ray, Texas A&M University - College Station; Debdeep Pati, Texas A&M University; Anirban Bhattacharya, TAMU
3:20 PM Bayesian Dependent Functional Mixture Estimation for Area and Time-Indexed Data
Presentation
Terrance Savitsky, Bureau of Labor Statistics
3:35 PM Bayesian Spatial Nonhomogeneous Poisson Process Based on Mixture of Finite Mixtures Model with Applications
Wei Shi, University of Connecticut; Junxian Geng, Boehringer Ingelheim; Guanyu Hu, University of Connecticut
 
 

254
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-Hall C
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
4: Maize Yield Determinants and Management Strategies
Han Wang, Michigan State University
5: Fast Bayesian Variable Selection and FDR Control
Su Chen, The University of Texas At Austin; Stephen Walker, The University of Texas at Austin
6: Confusion for Good: Expanding the Bayesian Logistic Meta-Analysis from Odds Ratios to the Confusion Matrix
Thomas Gibson, UCLA
7: Bayesian Agnostic Multiple-Hypotheses Test with Decision-Errors Control
Marcio Augusto Diniz, Cedars Sinai Medical Center; Melaine Oliveira Couch, Florida State University; Zahra Razaee, Cedars-Sinai Medical Center; Andre Rogatko, Cedars-Sinai Medical Center
8: Mapping Land Reflectance with Bayesian Dynamic Linear Models
Ryan Frost, Boston University
9: Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
Isabella Grabski, Harvard University; Roberta De Vito, Princeton University; Barbara Engelhardt, Princeton University
10: A Bayesian Method to Identifying CpG Sites Exhibiting Transgenerational Effects on DNA Methylation and Their Heterogeneity via Nested Clustering in Beta Regression
JIAJING WANG, University of memphis; Hongmei Zhang, University of Memphis; John Holloway, University of Southampton; S. Hasan Arshad, University of Southampton; Wilfried JJ Karmaus, University of Memphis
11: New Development of Bayesian Inconsistency Detection for Network Meta-Analysis
Cheng Zhang, University of Connecticut; Ming-Hui Chen, University of Connecticut; Joseph G Ibrahim, UNC; Sungduk Kim, NIH; Jianxin Lin, Merck, Inc.; Arvind Shah, Merck, Inc.; Hao Li, Boehringer Ingelheim
12: Inverse Stable Prior for Rate, Inverse Scale, and Inverse Variance Parameters
Dexter Cahoy, University of Houston-Downtown and University of Maryland; Joseph Sedransk, Univ of Maryland
13: Bayesian Sparse Multivariate Regression with Asymmetric Nonlocal Priors for Microbiome Data Analysis
Kurtis Shuler, UCSC; Juhee Lee, University of California, Santa Cruz; Marilou Sison-Mangus, UCSC
14: Sparse Priors for Orthogonal Matrices
Michael Jauch, Duke University; Peter Hoff, Duke University; David Dunson, Duke University
15: Bayesian Quantile Envelope Model
Minji Lee, University of Florida; Saptarshi Chakraborty, Memorial Sloan Kettering Cancer Center; Zhihua Su, University of Florida
16: A Bayesian Method for Locating Breakpoints in Time Series
Jeffrey Liebner
17: Stein Neural Sampler
Tianyang Hu, Purdue Statistics; Zixiang Chen, Tsinghua Statistics; Hanxi Sun, Purdue Statistics; Jincheng Bai, Purdue Statistics; Mao Ye, Purdue Statistics; Guang Cheng, Purdue Statistics
18: Rank Selection of Wavelet Bases in a Spatial Mixed Effects Model Using a Two-Step Bayesian Forward Selection Algorithm
Jaehui Lim, Florida State University; Eric Chicken, Florida State University; Jonathan R. Bradley, Florida State University
19: Criteria for Bayesian Hypothesis Testing for Two and More Groups
Victor Pena, Baruch College (CUNY)
20: A Bayesian Methodology for High-Dimensional Discrete Graphical Models
Anwesha Bhattacharyya
21: Revisiting the Gelman-Rubin Diagnostic
Christina Knudson, University of St Thomas; Dootika Vats, Indian Institute of Technology Kanpur
22: Flexible Multivariate Joint Model of Longitudinal Intensity and Binary Process for Medical Monitoring of Frequently Collected Data
Resmi Gupta, Cincinnati Children's Hospital Medical Center
23: Flexible Bayesian Inference for Over-Dispersed or Under-Dispersed Spatial Count Data
Hou-Cheng Yang
24: A Topic Model for Websites
Jason Wang, UCLA; Robert Weiss, UCLA
25: Function Estimation Through Phase and Amplitude Separation
James Matuk, The Ohio State University; Sebastian Kurtek, The Ohio State University; Oksana Chkrebtii, The Ohio State University; Karthik Bharath, University of Nottingham
26: Bayesian Projected Calibration of Computer Models
Fangzheng Xie; Yanxun Xu, Johns Hopkins University
27: Bayesian Approach to Partially Validated Binary Regression with Response and Exposure Misclassification of Longitudinal Data
Katrina Anderson, Marymount University; James D Stamey, Baylor University
28: A Bayesian Model of Microbiome Data for Simultaneous Identification of Covariate Associations and Prediction of Phenotypic Outcomes
Matthew Koslovsky, Rice University; Kristi L. Hoffman, Baylor College of Medicine; Carrie R. Daniel, MD Anderson Cancer Center; Marina Vannucci, Rice University
29: Applications of the Bayesian Cut Function to Ecohydrological Studies
John Frank, Rocky Mountain Research Station
30: Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
Jinjian Mu, University of Connecticut; Guanyu Hu, University of Connecticut; Qingyang Liu, University of Connecticut; Lynn Kuo, University of Connecticut
31: Multivariate Space-Time Disease Mapping via Quantification of Disease Risk Dependency
Daniel R. Baer, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina
32: Modeling Data on the Simplex
Rayleigh Lei, University of Michigan
33: Estimating the Parameters of Circles and Ellipses Using Orthogonal Distance Regression and Bayesian Errors-In-Variables Regression
Jolene Splett, National Institute of Standards and Technology; Felix Jimenez, University of Colorado, NIST; Amanda Koepke, National Institute of Standards and Technology
34: Multi-Rubric Models for Ordinal Spatial Data with Application to Online Ratings Data
Apurva Sunder Desai
36: Conjugate Bayesian Multivariate Spatial Models with Accelerated Posterior Sampling Using Conjugate Gradient Method
Lu Zhang, UCLA Biostatistics; Sudipto Banerjee, UCLA
37: The Impact of Prior Choice on Latent Variable Network Models
Ian Taylor, Colorado State University; Bailey Fosdick, Colorado State University
38: Bayesian Survival Analysis with Missing Covariate Values; an Application to Breast Cancer Data
Refah Alotaibi, Princess Nourah bint Abdulrahman University; Juliana Iworikumo Consul, Niger Delta University, Bayelsa State, Nigeria
39: Theoretical Guarantees of Convergence of EM Updates in Tangent Transformation Approach
Indrajit Ghosh, Texas A&M University; Anirban Bhattacharya, TAMU; Prasenjit Ghosh, Texas A & M University; Debdeep Pati, Texas A&M University
41: Bayesian Smoothing and Classification of Sparse Functional Data Using Gaussian Process
Tahmidul Islam, University of South Carolina; Paramita Chakraborty , University of South Carolina; James Lynch, University of South Carolina; John Grego, University of South Carolina
 
 

260
Mon, 7/29/2019, 3:05 PM - 3:50 PM CC-Hall C
SPEED: Environmental Statistics Methods and Applications, Part 2 — Contributed Poster Presentations
Section on Statistics and the Environment, Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
20: Bias Correction of Bounded Location Error in Binary Data
Nelson Walker, Kansas State University; Trevor Hefley, Kansas State University; Daniel Walsh, US Geological Survey
21: Marked Determinantal Point Processes
Yiming Feng, Florida State University; Fred Huffer, Florida State University
22: A Meta-Analysis of Bald and Golden Eagle Productivity Accounting for Spatial and Temporal Studies
Mark Otto, Fish and Wildlife Service
23: Multi-Scale Vecchia Approximations of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A & M University
24: Yield Forecasting Based on Short Time Series with High Spatial Resolution Data
Sayli Pokal, University of Nebraska-Lincoln; Yuzhen Zhou, University of Nebraska Lincoln; Trenton Franz, University of Nebraska Lincoln
25: Statistical Postprocessing for Seasonal Weather Forecasts
Claudio Heinrich
26: Reconstruction of Alnus Viridis Glacial Refugia Through Data Integration
Mauricio Campos, University of Illinois at Urbana Champaign; Bo Li, University of Illinois at Urbana-Champaign; Shreya Khurana, University of Illinois at Urbana Champaign; Joseph Napier, University of Illinois at Urbana Champaign; Guillaume deLafontaine, Université du Québec à Rimouski UQAR; Feng Sheng Hu, University of Illinois at Urbana Champaign
27: Characterization of Spatial and Temporal Trends of Extreme Precipitation Using Functional Principal Component Analysis
Miyabi Ishihara, UC Berkeley; Christopher Paciorek, University of California; Mark Risser, Lawrence Berkeley National Laboratory; Michelle Yu, University of California, Berkeley
28: Impact of ENSO and NAO on Extreme Monthly Precipitation of the USA
BHIKHARI THARU, Spelman College
29: Predictive Model Checking of a Wildlife Occupancy Model with a Partially-Known Stopping Rule
Aaron Springford, Weyerhaeuser; Jay Jones, Weyerhaeuser
30: Prenatal Exposure to PM2.5 Species and DNA Methylation in Newborns: a Novel Statistical Framework
Jenny Lee, Harvard School of Public Health; Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School; Andres Cardenas, University of California, Berkeley - School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health
31: Benefits of Monte Carlo Imputation of Non-Detects in Environmental Data
Kirk Cameron, Macstat Consulting, Ltd.
32: Trend Assessment for Daily Snow Depths with Changepoints Considerations
Jaechoul Lee, Boise State University; Robert Lund, Clemson University; Jonathan Woody, Mississippi State University; Yang Xu, Mississippi State University
33: Classifying Geographic Regions with Imperfect Labels
Forrest Paton, McMaster University; Paul D McNicholas, McMaster University
34: Temporal Effects Comparison Across Four Treatments Applied to Ponderosa Pine for the Suppression and Prevention of Elytroderma Needle Disease
Ekaterina Smirnova, Virginia Commonwealth University; Joel M Egan, US Forest Service; Leonid Kalachev, University of Montana; John Goodburn, University of Montana; Kathleen Mckeever, US Forest service
35: A Daily Rainfall Model for Multiple Sites for Use in Statistical Downscaling
Yiming Liu, University of New Hampshire; Ernst Linder, University of New Hampshire
36: Uncertainty Quantification for Joint Retrieval of Temperature, Humidity, and Cloud States from Satellite Data
Jonathan Hobbs, Jet Propulsion Laboratory
37: Spatially Informed Aggregation of Orbiting Carbon Observatory Measured XCO2 for Global Flux Inversion
Joaquim Teixeira, NASA Jet Propulsion Laboratory
38: Bayesian Analysis of Multifidelity Computer Models with Local Features and Non-Nested Experimental Designs
Bledar Konomi, University of Cincinnati; Georgios Karagiannis, Durham University
Oral Presentations for this session.
 
 

286 *
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-605
Advances in Bayesian Nonparametric Methods and Its Applications — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Trevor Campbell, University of British Columbia
Chair(s): Brenda Betancourt, University of Florida
8:35 AM Genomic Variety Estimation via Bayesian Nonparametrics
Lorenzo Masoero, Massachusetts Institute of Technology
8:55 AM Adaptive Bayesian Density Estimation in Sup-Norm
Presentation
Zacharie Naulet
9:15 AM A Bayesian Nonparametric View on Count-Min Sketch
Presentation
Diana Cai, Princeton University; Michael Mitzenmacher, Harvard University; Ryan Adams, Princeton University
9:35 AM Bayesian Nonparametric Methods for the Experimental Design of Single Cell Studies: From Clustering to Sorting
Presentation
Bianca Dumitrascu, Princeton University; Federico Ferrari, Duke University; Stefano Favaro, Universita di Torino; Barbara Engelhardt, Princeton University
9:55 AM Discussant: Felipe Barrientos, Duke University
10:15 AM Floor Discussion
 
 

296
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-105
SPEED: Biometrics - Methods and Application, Part 1 — Contributed Speed
Biometrics Section, Section on Bayesian Statistical Science
Chair(s): Katherine E Irimata, National Center for Health Statistics
Poster Presentations for this session.
8:35 AM Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts
Presentation
Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
8:40 AM An Exponential Effect Persistence Model for Intensive Longitudinal Data
Claude Setodji, RAND Corporation; Steven C. Martino, RAND Corporation; Michael S. Dunbar, RAND Corporation; William G. Shadel, RAND Corporation
8:45 AM Analyzing Pre-Post Randomized Studies with One Post-Randomization Score Using Repeated Measures and ANCOVA Models
Presentation 1 Presentation 2
Fei Wan, University of Arkansas for Medical Sciences
8:50 AM Spectral Parameterization, Diagnostics, and Remedies for Confounding of Fixed Effects by Random Effects
Presentation 1 Presentation 2
Patrick Schnell, Ohio State University; Maitreyee Bose, Amgen
8:55 AM Differential Abundance Analyzes of Pre- and Post-Metabolomic Data with Steroid Treatment for Bronchopulmonary Dysplasia
Prabhakar Chalise, University of Kansas Medical Center; Tamorah R Lewis, Children’s Mercy Hospital, University of Missouri Kansas City
9:05 AM SignNets: Fine Tuning Gene-Gene Similarity Metrics in Biological Systems
Presentation 1 Presentation 2
Crystal Shaw, UCLA; Vinayagam Arunachalam, Pfizer, Inc.; Jadwiga R Bienkowska, Pfizer, Inc.
9:10 AM To EM or Not to EM: Updated Estimation of the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients
Presentation
Audrey Mauguen, Memorial Sloan Kettering Cancer Center; Venkatraman E. Seshan, MSKCC; Irina Ostrovnaya, MSKCC; Colin Begg, Memorial Sloan Kettering Cancer Center
9:15 AM Is it ‘random’ or ‘haphazard’? Demonstrating Effects of Nonrandom Allocation by Simulation
Presentation
Penny Reynolds, University of Florida College of Medicine
9:20 AM Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time
Sanhita Sengupta, University of Minnesota
9:30 AM Item Response Theory Models for Survival Analysis and the Detection of Treatment Efficacy
Presentation
Charlie Iaconangelo, Pharmerit International
9:35 AM Similarity-Based Probability Weighted Learning for Individual Treatment Rule Estimation
Presentation
Jinchun Zhang, New York University; Andrea B Troxel, NYU School of Medicine; Eva Petkova, New York University
9:40 AM Multivariate Longitudinal Data from Eyes - Microperimetry Macular Sensitivity Loss in Patients with Stargardt Disease
Presentation
Zhengfan Wang, UMASS-Amherst; Xiangrong Kong, Johns Hopkins University
9:45 AM On Powerful Exact Nonrandomized Tests for the Poisson Two-Sample Setting
Stefan Wellek, CIMH Mannheim/University of Heidelberg, Germany/University of Mainz, Germany
9:50 AM Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort
Presentation
Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:55 AM Two-Way Partial AUC and Its Properties
Presentation
Kun Lu, Princeton University; Hanfang Yang, Renmin University of China; Xiang Lv, University of California, Berkeley; Feifang Hu, George Washington University
10:00 AM Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE)
Presentation
Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
10:05 AM Variance Estimation When Combining Inverse Probability Weighting and Multiple Imputation in Electronic Health Records-Based Research
Presentation
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
10:10 AM Bayesian Generalized Mixed-Effect Modeling of Conway-Maxwell Poisson Data
Presentation
Morshed Alam, University of Nebraska Medical Center; Meza Jane, University of Nebraska Medical center; Yeongjin Gwon, University of Nebraska Medical Center
10:15 AM Floor Discussion
 
 

297
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-501
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, International Chinese Statistical Association, Quality and Productivity Section, Section on Statistical Graphics, Section on Physical and Engineering Sciences, ASA LGBT Concerns Committee, Section on Statistics in Imaging
Chair(s): Rajarshi Guhaniyogi, University of California, SC
Poster Presentations for this session.
8:35 AM Subfield Yield Analysis for Precision Agriculture
Presentation
Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
8:40 AM From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks
Presentation
Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
8:45 AM A Bayesian Approach for Estimating Earth’s "missing" Minerals
Presentation
Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
8:50 AM A Fully Bayesian Approach to Typhoon Precipitation Forecast
Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
8:55 AM Air Pollutant Prediction from Precipitation
Presentation 1 Presentation 2 Presentation 3
Patrick Chang, JLS Middle School
9:00 AM Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide
Presentation 1 Presentation 2
Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
9:05 AM Exploratory Data Analysis of US Air Quality
Presentation
Xuemao Zhang, East Stroudsburg University
9:10 AM Visualizing a Cyber Physical System in Drill Down Perspective
Presentation
Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
9:15 AM Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing
Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
9:20 AM Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities
Presentation 1 Presentation 2
Maoran Xu, University of Florida; Li Duan, University of Florida
9:30 AM Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Presentation
Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
9:35 AM Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures
Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
9:40 AM Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data
Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
9:45 AM Machine Learning and Deep Learning Based on Multiple View Images and Additional Information
Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
9:50 AM Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI
Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
9:55 AM Survival Analysis for Medical Imaging Data
Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
10:00 AM Deformation-Based Morphometry Adapted for Lung CT
Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
10:05 AM Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data
Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
10:10 AM Clustering and Classification of Exocytic Events
Presentation
Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
10:15 AM Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior
Presentation
Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA
 
 

302
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-701
Advances in Bayesian Computation — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Sameer K. Deshpande, CSAIL, MIT
8:35 AM Statistical and Computational Guarantees for Variational Boosting
Presentation
Biraj Guha, Texas A & M University; Debdeep Pati, Texas A&M University; Anirban Bhattacharya, TAMU
8:50 AM Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation for Hierarchical Models
Joshua Hewitt, Colorado State University; Jennifer A Hoeting, Colorado State University
9:05 AM A New Visualization for MCMC Output Analysis
Presentation
Nathan Robertson, University of California, Riverside; James Flegal, University of California, Riverside
9:20 AM Warp Bridge Sampling: The Next Generation
Presentation
David Jones, Texas A&M University; Lazhi Wang, Two Sigma; Xiao-Li Meng, Harvard University
9:35 AM Latent Community Adaptive Network Regression
Presentation
Heather Mathews, Duke University; Alexander Volfovsky, Duke University
9:50 AM Bayesian Assurance and Sample Size Analysis in a Conjugate Bayesian Linear Model Framework
Jane Pan, UCLA; Sudipto Banerjee, UCLA
10:05 AM Accelerate Auxiliary Iterated Filtering
Dao Nguyen
 
 

305 !
Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-301
Bayesian Modeling and Variable Selection Methods — Contributed Papers
Section on Statistical Computing, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Augustus Jayaraj, Cornell University
8:35 AM A New Generalized Inverse Gaussian Distribution with Bayesian Estimators
Presentation
Kenneth R Goward, Central Michigan University; Chin-I Cheng, Central Michigan University; Kahadawala Cooray, Central Michigan University
8:50 AM Estimating Random Walk Centrality
Nirodha Mihirani Epasinghege Dona, University of Manitoba; Brad Johnson, University of Manitoba
9:05 AM Variable Selection Techniques for Model-Based Clustering of Directional Data
Presentation
Semhar Michael, South Dakota State University; Damon Bayer, South Dakota State Univesity
9:20 AM Implicit Regularization via Hadamard Product Parametrization in Linear Regression
Peng Zhao, Florida State University; Yun Yang, University of Illinois Urbana-Champaign; Qiao-chu He, Southern University of Science and Technology
9:35 AM High-Dimensional Controlled Variable Selection for Ordinal Outcomes
Presentation
Han Fu, The Ohio State University; Kellie Archer, Ohio State University
9:50 AM Variable Selection for High-Dimensional Nodal Attributes in Social Networks
Presentation
Jia Wang, Penn State University; Runze Li, Penn State University
10:05 AM Incomplete High-Dimensional Inverse Covariance Estimation
Yunxi Zhang, University of Mississippi Medical Center; Soeun Kim, University of Texas Health Science Center at Houston
 
 

310
Tue, 7/30/2019, 9:25 AM - 10:10 AM CC-Hall C
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 2 — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Oral Presentations for this session.
1: Multivariate Association Analysis with Correlated Traits in Families
Souvik Seal, Division of Biostatistics, University of Minnesota
2: Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study
Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
3: Rare Variant Association Tests for Multiple Ancestries Using Common Controls
Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
4: GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics
Wei Jiang, Yale University; Hongyu Zhao, Yale
5: Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies
Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
6: Fine Mapping Causal Variants with Functional Annotations
Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
7: Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait
Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
8: Trait Evolution on Two Gene Trees
James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
9: Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies
Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
10: An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region
Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
11: Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics
Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
12: A Flexible Bayesian Framework to Study Viral Trait Evolution
Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
13: Fully Bayesian Imputation Model for MNAR Data in QPCR
Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
14: Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models
Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
15: Prediction with Microbiome Sequencing Data via Multi-Kernel Learning
Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
16: A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree
Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
17: A New Sparse Network Model for High-Throughput Count Data
Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
18: A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data
Shuang Jiang, Southern Methodist University
19: Sparse Mediation Analysis Using Mixture Models
Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
20: A Feature Allocation Model for Cytometry by Time-Of-Flight Data
Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center
Oral Presentations for this session.
 
 

311
Tue, 7/30/2019, 9:25 AM - 10:10 AM CC-Hall C
SPEED: Environment and Health, Governmental Policies and Population Surveys, Part 2 — Contributed Poster Presentations
Government Statistics Section, Section on Bayesian Statistical Science, Health Policy Statistics Section, Lifetime Data Science Section, Text Analysis Interest Group
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21: Optimal Sampling Regimes for Estimating Population Dynamics
Rebecca Bergee
22: Application of Stochastic Search Variable Selection to Modeling Evacuation Ahead of Hurricane Irma
Sierra Bainter, University of Miami; Caitlin Brown, University of Miami; Kiara Timpano, University of Miami
23: Bayesian Finite Population Estimates from a Two-Stage Sample with Spatial Correlation
Alec M Chan-Golston, University of California, Los Angeles; Sudipto Banerjee, UCLA; Mark Handcock, University of California, Los Angles
24: Transitions Between Homelessness States(Safe Haven, Temporary Housing , Emergency Shelter and Unsheltered) Before and After Operation Rio Grande in the Salt Lake Metropolitan Area
Prem Narayanan, Salt Lake County
25: Assessing to the Impact of Differential Response Rates Across National Health and Nutrition Examination Survey (NHANES) Locations
Te-Ching Chen, CDC/NCHS; Jennifer Parker, CDC/NCHS/OAE/SPB; Tala Fakhouri, CDC/NCHS
26: A New Methodology for Frame Building and Sample Design for the State Heating Oil and Propane Program (SHOPP)
Edgardo Cureg, U.S. Energy Information Administration (EIA); Marcela Bradbury, U.S. Energy Information Administration (EIA)
27: Report on Industry Births and Deaths in PPI Frames
Andy Sadler, Bureau of Labor Statistics
28: Determining the Distance Between Countries of Latin America and the Caribbean Regarding Their Fulfillment of the SDGs in 2017
Andres Esteban Arguedas Leiva, University of Costa Rica
29: Providing Access to the Federal Information Base for Evidence Based Policy Making
Marilyn Seastrom, US Department of Education; Jennifer Nielsen, National Center for Education Statistics/IES/Dept of Education
30: Imputation as a Practical Alternative to Data Swapping
Saki Kinney, RTI International; David Wilson, RTI International; Alan Karr, RTI International; Kelly Kang, NSF
31: Using Efficient Sampling Methods for Fixed-Margin Matrices to Assess Judicial Innovation
Alex Fout
32: Examining Public Comments for Financial and Net Neutrality Regulations
Shawn Mankad, Cornell University; Abhinav Gaiha, Cornell University
33: Using Supervised Machine Learning to Classify Customer Input
Adrianna Steers-Smith, USDA/FSIS
34: Weighting Adjustments Can Help with Low Response Rates, but at What Cost to Data Quality?
Chrishelle Lawrence, U.S. Energy Information Administration
35: Annualizing Energy Consumption in Residential Households in the 2015 RECS
Jay Olsen, U.S. Department of Energy
36: Methodology for Allocating Municipal Solid Waste to Biogenic and Non-Biogenic Energy
Joy Liu, US Department of Energy
37: On the Small Count Inflated Poisson Distribution
Michael Floren, Misericordia Univerisity; Trent L Lalonde, University of Northern Colorado
38: Conditional Survival Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu; Douglas Schaubel, University of Michigan
39: Hyper Prior Dirichlet Partial Multinomial Logistic Regression Through Multiple Binary Responses for Mozambique HIV/AIDS
Diana Gonzalez, Arizona State University; Di Fang, University of Arkansas
Oral Presentations for this session.
 
 

315 *
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-301
Innovative Bayesian Approaches in Clinical Trials and Practical Considerations — Invited Papers
Section on Bayesian Statistical Science, Biopharmaceutical Section, Society for Clinical Trials
Organizer(s): Mandy Jin, Merck & Co., Inc.
Chair(s): Mandy Jin, Merck & Co., Inc.
10:35 AM Revisiting Test-Then-Pool Methods and Some Practical Considerations
Frank G Liu, Merck Sharp & Dohme Inc.; Wen Li, Merck
10:55 AM Nonparametric Bayesian Estimation of Heterogeneous Causal Effects Using Real-World Data
Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steve MacEachern, The Ohio State University; Ling Wang, Michigan State University
11:15 AM Design of Drug Combination Early Phase Cancer Trials Under the Setting of Partial Toxicity Attribution
Presentation
Mourad Tighiouart, Cedars-Sinai Medical Center
11:35 AM Bayesian Framework for Pediatric Drug Development
Amarjot Kaur, Merck & Co.; Mandy Jin, Merck & Co., Inc.; Qing Li, Merck Research Labs
11:55 AM Discussant: Gregory Campbell, GCStat Consulting
12:15 AM Floor Discussion
 
 

327 * !
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-110
Probabilistic Decision-Making in Clinical Research — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science
Organizer(s): Alan Hartford, Takeda Pharmaceutical Company
Chair(s): Qi Tang, Sanofi
10:35 AM Predicting Technical Success of a Phase III Program Using Bayesian Latent Relationship Modeling
Saurabh Mukhopadhyay, AbbVie
10:55 AM Evidence Based Decision Making in Clinical Trials
Presentation
Erik Pulkstenis, AbbVie
11:15 AM Time-To-Event Bayesian Optimal Interval Design to Accelerate Dose-Finding Based on Both Efficacy and Toxicity Outcomes
Kentaro Takeda, Astellas Pharma Global Development, Inc.
11:35 AM Utilizing Bayesian Analysis for Probabilistic Decision Making in a Platform Clinical Trial
Presentation
J. Kyle Wathen, Janssen R&D
11:55 AM Floor Discussion
 
 

334 *
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-710
Health Policy Statistics Student Paper Awards — Topic Contributed Papers
Health Policy Statistics Section, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Roee Gutman, Brown University
Chair(s): Lisa M Lix, University of Manitoba
10:35 AM The Effect of Bariatric Surgery on Health Care Costs: a Synthetic Control Approach Using Bayesian Structural Time Series
Presentation
Christoph Kurz, Helmholtz Zentrum Muenchen
10:55 AM A Latent Class Based Joint Model for Recurrence and Termination with Application to Heart Transplants
Zhixing Xu, Florida State University; Debajyoti Sinha, FLORIDA STATE UNIVERSITY; Jonathan R. Bradley, Florida State University
11:15 AM Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments
Presentation
Shirley Liao
11:35 AM A Bayesian Difference-In-Differences Framework for Measuring the Impact of Primary Care Redesign on Diabetes Outcomes
Presentation
James Normington, Univ of Minnesota; Eric Lock, University of Minnesota; Caroline Carlin, University of Minnesota; Kevin Peterson, University of Minnesota; Bradley Carlin, Counterpoint Statistical Consulting, LLC
11:55 AM A Bayesian Hierarchical Causal Effect Model Accounting for Incomplete Noncompliance Data in Meta-Analysis
Jincheng Zhou, University of Minnesota; JIM HODGES, UNIVERSITY OF MINNESOTA; Haitao Chu, University of Minnesota
12:15 PM Floor Discussion
 
 

338
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-103
SPEED: Biostatistical Methods, Application, and Education, Part 1 — Contributed Speed
ENAR, Section on Medical Devices and Diagnostics, Mental Health Statistics Section, Quality and Productivity Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Poster Presentations for this session.
10:35 AM Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis
Presentation
Brian Healy, Biostatistics Center/Massachusetts General Hospital
10:40 AM Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices
Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
10:45 AM New Results on the Weighted Generalized Score for Comparing Two Correlated Means
Presentation
Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
10:50 AM Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods
Presentation
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
10:55 AM Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research
Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
11:00 AM Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting
E. Neeley Tass, Brigham Young University
11:05 AM Sample Size Calculations in Single-Case Designs
Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
11:10 AM Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation
Presentation
Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
11:15 AM Coffee and Cardiovascular Disease Prevention
Anna Wu; Patrick Giuliano, Abbott
11:20 AM Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists
Presentation
Kedai Cheng; Derek Young, University of Kentucky
11:30 AM Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study
Presentation
Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
11:35 AM Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016
Yutaka Aoki, National Center for Health Statistics
11:40 AM Optimality in Group Testing Estimation with Misclassification
Md. S. Sarker, Radford University
11:45 AM Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates
Presentation
Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:50 AM A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data
Benjamin W. Rogers, UCLA
11:55 AM Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study
Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
12:00 PM Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students
Presentation
Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
12:05 PM Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data
Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
12:10 PM Pre-Conceptions of Statistical Inference in Biostatistics
Presentation
Aimee Schwab-McCoy, Creighton University
 
 

339
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-105
SPEED: Biopharmaceutical and General Health Studies: Statistical Methods and Applications, Part 1 — Contributed Speed
Biopharmaceutical Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Health Policy Statistics Section, ENAR
Chair(s): Sedigheh Mirzaei Salehabadi, St. Jude Children's Research Hospital
Poster Presentations for this session.
10:35 AM Mediation Analysis for Longitudinal Data with Applications to Clinical Trial Data
Yun Zhang
10:40 AM Adjusting Response Adaptive Allocation for Subject Dropout
Presentation
Katharine Stromberg, Virginia Commonwealth University; Adam Sima, Virginia Commonwealth University
10:45 AM The Use of a New Classifier to Maximize the Classification Performance
Presentation
Hua Ma, Merck; Joe Heyse, Merck
10:50 AM Reproducibility of Living Data - Validation of Published Research Using the Parkinson’s Progression Marker Initiative Living Database
Elliot Burghardt, University of Iowa; Christopher Coffey, University of Iowa; Chelsea Caspell-Garcia, University of Iowa; Eric Foster, Ferring Pharmaceuticals
10:55 AM Blinding in Open Label Study with Adaptive Design
Presentation
Bo Xu, Boston Biomedical Inc; Bo Jin, Boston Biomedical Inc; Alex Dmitrienko, Mediana Inc
11:00 AM Estimating the Relative Risk for Response-Biased Samples: Calibration and Conditional Likelihood
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Claudia Rivera-Rodriguez, University of Auckland
11:05 AM Another Estimation Method Besides MMRM for Treatment Effects in Diabetes Clinical Trials
Presentation
Yu Du, Eli Lilly and Company
11:10 AM Criteria for Choosing a Futility Method for Clinical Studies
Presentation
Richard McNally, Covance-Chiltern
11:15 AM Random Forests for Exploring Factors Driving Opioid Prescribing in National Outpatient Health Care Data Using Complex Survey Design
Presentation
Yong Ma, FDA; JaeJoon Song, FDA
11:20 AM An Adaptive Phase II Dose Finding Study Using Sample Size Re-Estimation Design
Qingyang Liu, University of Connecticut; Guanyu Hu, University of Connecticut; Yaoshi Wu, Boehringer-Ingelheim ; Binqi Ye, Boehringer-Ingelheim; Susan Wang, Boehringer-Ingelheim
11:30 AM Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model
Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
11:35 AM Quantifying the Number of Events Borrowed from External Data in Hybrid Control Arms
Presentation
Brian Segal, Flatiron Health; Carrie Bennette, Flatiron Health; Somnath Sarkar, Flatiron Health
11:40 AM Characterizing Irreproducibility in Drug Sensitivity Data from a Large Pharmacogenomic Study
Zoe Rehnberg, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
11:45 AM Closest Similar Subset Imputation
Macaulay Okwuokenye, Brio Dexteri Pharmaceutical Consultant & UNE; Karl E Peace, Georgia Southern University
11:50 AM Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology
Presentation
Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
11:55 AM Estimating and Using the Attained Power Distribution to Ensure We Get the Trial Power We Expect
Yongdong Ouyang, University of British Columbia; Hubert Wong, University of British Columbia; Ehsan Karim, University of British Columbia; Paul Gustafson, University of British Columbia
12:00 PM Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome
Presentation 1 Presentation 2 Presentation 3 Presentation 4 Presentation 5 Presentation 6
Woobeen Lim, The Ohio State University; Michael Pennell, Ohio State University
12:05 PM Clustering of Multivariate Data with Varying Dimensions
Presentation
Xiaoqi Lu, Columbia University; Bin Cheng, Columbia University; Ying Kuen Ken Cheung, Columbia University
12:10 PM Floor Discussion
 
 

340
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-501
SPEED: Bayesian Methods, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, Section on Statistics in Defense and National Security
Chair(s): Chris Gotwalt, SAS Institute Inc.
Poster Presentations for this session.
10:35 AM Bayesian Spatially Clustered Coefficient Regression
Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
10:40 AM Spatial Cox Model with Applications on Multiple Sclerosis Patients
HSIUCHING CHANG, IQVIA; Hyokoung Grace Hong, Michigan State Universtiy; Yu Yue, The City University of New York
10:45 AM Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
10:50 AM A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
10:55 AM A Bayesian Two-Part Quantile Regression Model for Count Data with Excess Zeros
Presentation
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
11:00 AM Nonparametric Density Estimation and Regression Using Coarse Count Data
Presentation 1 Presentation 2 Presentation 3
Jacob Coleman
11:05 AM Revisiting the Proton-Radius Problem Using Constrained Gaussian Processes
Shuang Zhou, Texas A&M University; Pablo Giulani, Florida State University; Jorge Piekarewicz, Florida State University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
11:10 AM An Investigation into How Model Uncertainty Is Reflected Through the Posterior Variance for Partial Regression Coefficients
Presentation
Katharine Banner, Montana State University; Megan Higgs, Montana State University
11:15 AM An Objective Bayesian Multiple Testing for Correlated Binomial Proportions
Siva Sivaganesan, University of Cincinnati; Emrah Gecili, Cincinnati Children's Hospital Medical Center
11:20 AM Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
11:30 AM The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
11:35 AM Bayesian Model Selection and Averaging in the Presence of Latent Heteroscedasticity in Linear Models
Presentation 1 Presentation 2
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
11:40 AM Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
11:45 AM Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Presentation
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine
11:50 AM Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Presentation
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
11:55 AM Bayesian Quantile Regression Applied to Time Between Healthcare-Associated Infection Events
Jonathan Edwards, Center for Disease Control & Prevention
12:00 PM A Distributed MCMC Sampler for Latent Dirichlet Allocation
Presentation
Kelson Zawack, Yale University; Hongyu Zhao, Yale
12:05 PM High-Dimensional Posterior Consistency in Mixed Frequency Bayesian Vector Autoregressive Models
Nilanjana Chakraborty, University of Florida; George Michailidis, University of Florida; Kshitij Khare, University of Florida
12:10 PM A New Bayesian Person-Fit Analysis Method for Item Response Theory Models Using Pivotal Discrepancy Measures
Presentation
Adam Combs, Robert Morris University
12:15 PM Ordinal Probit Functional Regression Models with Application to Computer-Use Behavior in Rhesus Monkeys
Presentation
Mark Meyer, Georgetown University; Jeffrey S. Morris, M.D. Anderson Cancer Center; Regina Paxton Gazes, Bucknell University; Robert R. Hampton, Emory University and Yerkes National Primate Research Center; Brent A. Coull, Harvard T. H. Chan School of Public Health
 
 

347
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-302
Computationally Intensive Bayesian Methodology — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Suprateek Kundu, Emory University
10:35 AM Bayesian Model and Analysis of Particulate Matter Metal Mixtures
Boubakari Ibrahimou, Florida International University
10:50 AM A Survival Tree Partition Model Using Latent Gaussian Processes and Laplace Approximations
Richard Payne, Eli Lilly & Company; Bani Mallick, Texas A&M University
11:05 AM Bayesian Sampling in Constrained Domains
Sharang Chaudhry, University of Nevada Las Vegas; Kaushik Ghosh, University of Nevada Las Vegas; Daniel Lautzenheiser, University of Nevada Las Vegas
11:20 AM Order-Restricted Bayesian Estimation of Multinomial Counts for Small Areas
Presentation
Xinyu Chen, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
11:35 AM Bayesian Inference for the Common Location Parameter of Several Shifted-Exponential Populations
Presentation
Sumith Gunasekera, The University of Tennessee - Chattanooga
11:50 AM Bayesian Analysis of Areal Data with Unknown Adjacencies Using the Stochastic Edge Mixed Effects Model
Presentation
Heli Gao, Florida State University
12:05 PM Bayesian LASSO for Non-Stationary Gaussian Linear Mixed Effects Model
Emrah Gecili, Cincinnati Children's Hospital Medical Center; Siva Sivaganesan, University of Cincinnati; Assem G Ziady, Cincinnati Children's Hospital Medical Center; Rhonda Szczesniak, Cincinnati Children's Hospital
 
 

361
Tue, 7/30/2019, 11:35 AM - 12:20 PM CC-Hall C
SPEED: Biometrics - Methods and Application, Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Bayesian Statistical Science
Chair(s): Katherine E Irimata, National Center for Health Statistics
Oral Presentations for this session.
1: Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts
Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
2: An Exponential Effect Persistence Model for Intensive Longitudinal Data
Claude Setodji, RAND Corporation; Steven C. Martino, RAND Corporation; Michael S. Dunbar, RAND Corporation; William G. Shadel, RAND Corporation
3: Analyzing Pre-Post Randomized Studies with One Post-Randomization Score Using Repeated Measures and ANCOVA Models
Fei Wan, University of Arkansas for Medical Sciences
4: Spectral Parameterization, Diagnostics, and Remedies for Confounding of Fixed Effects by Random Effects
Patrick Schnell, Ohio State University; Maitreyee Bose, Amgen
5: Differential Abundance Analyzes of Pre- and Post-Metabolomic Data with Steroid Treatment for Bronchopulmonary Dysplasia
Prabhakar Chalise, University of Kansas Medical Center; Tamorah R Lewis, Children’s Mercy Hospital, University of Missouri Kansas City
7: SignNets: Fine Tuning Gene-Gene Similarity Metrics in Biological Systems
Crystal Shaw, UCLA; Vinayagam Arunachalam, Pfizer, Inc.; Jadwiga R Bienkowska, Pfizer, Inc.
8: To EM or Not to EM: Updated Estimation of the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients
Audrey Mauguen, Memorial Sloan Kettering Cancer Center; Venkatraman E. Seshan, MSKCC; Irina Ostrovnaya, MSKCC; Colin Begg, Memorial Sloan Kettering Cancer Center
9: Is it ‘random’ or ‘haphazard’? Demonstrating Effects of Nonrandom Allocation by Simulation
Penny Reynolds, University of Florida College of Medicine
10: Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time
Sanhita Sengupta, University of Minnesota
11: Item Response Theory Models for Survival Analysis and the Detection of Treatment Efficacy
Charlie Iaconangelo, Pharmerit International
12: Similarity-Based Probability Weighted Learning for Individual Treatment Rule Estimation
Jinchun Zhang, New York University; Andrea B Troxel, NYU School of Medicine; Eva Petkova, New York University
13: Multivariate Longitudinal Data from Eyes - Microperimetry Macular Sensitivity Loss in Patients with Stargardt Disease
Zhengfan Wang, UMASS-Amherst; Xiangrong Kong, Johns Hopkins University
14: On Powerful Exact Nonrandomized Tests for the Poisson Two-Sample Setting
Stefan Wellek, CIMH Mannheim/University of Heidelberg, Germany/University of Mainz, Germany
15: Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort
Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
16: Two-Way Partial AUC and Its Properties
Kun Lu, Princeton University; Hanfang Yang, Renmin University of China; Xiang Lv, University of California, Berkeley; Feifang Hu, George Washington University
17: Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE)
Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
18: Variance Estimation When Combining Inverse Probability Weighting and Multiple Imputation in Electronic Health Records-Based Research
Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
19: Bayesian Generalized Mixed-Effect Modeling of Conway-Maxwell Poisson Data
Morshed Alam, University of Nebraska Medical Center; Meza Jane, University of Nebraska Medical center; Yeongjin Gwon, University of Nebraska Medical Center
Oral Presentations for this session.
 
 

362
Tue, 7/30/2019, 11:35 AM - 12:20 PM CC-Hall C
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Graphics, International Chinese Statistical Association, Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistics in Imaging, ASA LGBT Concerns Committee
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21: Subfield Yield Analysis for Precision Agriculture
Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
22: From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks
Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
23: A Bayesian Approach for Estimating Earth’s "missing" Minerals
Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
24: A Fully Bayesian Approach to Typhoon Precipitation Forecast
Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
25: Air Pollutant Prediction Using Precipitation
Patrick Chang, JLS Middle School
26: Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide
Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
27: Exploratory Data Analysis of US Air Quality
Xuemao Zhang, East Stroudsburg University
28: Visualizing a Cyber Physical System in Drill Down Perspective
Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
29: Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing
Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
30: Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities
Maoran Xu, University of Florida; Li Duan, University of Florida
31: Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
32: Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures
Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
33: Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data
Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
34: Machine Learning and Deep Learning Based on Multiple View Images and Additional Information
Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
35: Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI
Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
36: Survival Analysis for Medical Imaging Data
Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
37: Deformation-Based Morphometry Adapted for Lung CT
Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
38: Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data
Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
39: Clustering and Classification of Exocytic Events
Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
40: Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior
Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA
Oral Presentations for this session.
 
 

218893
Tue, 7/30/2019, 12:00 PM - 2:00 PM Off Site
Section on Bayesian Statistical Science Executive Committee Business Meeting — Other Cmte/Business
Section on Bayesian Statistical Science
Chair(s): Susan Paddock, RAND Corporation
 
 

376 !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-103
All Things Bayesian: The Next Generation — Invited Papers
International Indian Statistical Association, Section on Bayesian Statistical Science, General Methodology
Organizer(s): Ananda Sen, University of Michigan
Chair(s): Saptarshi Chatterjee, Northern Illinois University
2:05 PM A Practical Bayesian Analysis of Recurrence and Termination
Presentation
Debajyoti Sinha, FLORIDA STATE UNIVERSITY; Zhixing Xu, Florida State University; Jonathan R. Bradley, Florida State University
2:30 PM Honey I Shrunk the Intercept
Presentation
Ananda Sen, University of Michigan; Phil Boonstra, University of Michigan
2:55 PM On the Beta Prime Prior for Scale Parameters in High-Dimensional Bayesian Regression Models
Malay Ghosh, University of Florida; Ray Bai
3:20 PM Uncertainty Quantification for Bayesian Survival Analysis
Stephanie van der Pas, Leiden University; Ismael Castillo, Sorbonne University
3:45 PM Floor Discussion
 
 

396 * !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-105
Savage Awards Session — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Joyee Ghosh, The University of Iowa
Chair(s): Michael Daniels, University of Florida
2:05 PM Bayesian Nonparametric Models for Biomedical Data Analysis
Presentation
Tianjian Zhou, The University of Chicago; Peter Müller, University of Texas Austin; Yuan Ji, The University of Chicago; Michael Daniels, University of Florida
2:25 PM Statistical Models for Dependent Trajectories with Application to Animal Movement
Henry Scharf, Colorado State University
2:45 PM Black Box Variational Inference
Presentation
Rajesh Ranganath, NYU Courant Institute of Mathematical Science
3:05 PM Geometric Bayes
Presentation
Andrew Holbrook, UCLA Department of Human Genetics
3:25 PM Floor Discussion
 
 

397 * !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-109
Multiple Aspects of Bayesian Strategies for Variable Selection in Standard and Non-Standard Models — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association
Organizer(s): Arnab Kumar Maity, Texas A&M University
Chair(s): Satwik Acharyya, Texas A&M University
2:05 PM Bayesian Model Selection for Nonparametric Problems
Presentation
Debdeep Pati, Texas A&M University; Yun Yang, University of Illinois Urbana-Champaign
2:25 PM Highest Posterior Model Computation and Variable Selection
Arnab Kumar Maity, Texas A&M University; Sanjib Basu, University of Illinois at Chicago
2:45 PM Bayesian Criterion Based Variable Selection: Comparisons and Applications
Sanjib Basu, University of Illinois at Chicago; Arnab Kumar Maity, Texas A&M University; Santu Ghosh, Augusta University
3:05 PM Estimation and Comparison of Conditional Moment Models
Siddhartha Chib, Washington University in St. Louis
3:25 PM Bayesian Individualized Variable Selection
Presentation
Minsuk Shin, Harvard University; Jun S. Liu, Harvard University
3:45 PM Floor Discussion
 
 

407
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-210/212
Novel Methods for Causal Inference in Health Policy — Contributed Papers
Health Policy Statistics Section, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Phillip Schulte, Mayo Clinic
2:05 PM Estimation of Average Causal Effect in Clustered Data Using Multiple Imputation
Recai Yucel, SUNY Albany School of Public Health; Meng Wu, Department of Health, NY State
2:20 PM Directional Penalties for Optimal Matching in Observational Studies
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
2:35 PM Matching Algorithms for Causal Inference with Multiple Treatments
Presentation
Anthony D. Scotina, Simmons University; Roee Gutman, Brown University
2:50 PM Causal Inference Under Interference in Dynamic Therapy Group Studies
Susan Paddock, NORC at the University of Chicago; Bing Han, RAND Corporation; Lane Burgette, RAND Corporation
3:05 PM A Probabilistic Approach to Cost-Effectiveness Analysis with Censored Outcomes
Presentation
Nicholas Illenberger, University of Pennsylvania; Andrew J. Spieker, Vanderbilt University Medical Center; Nandita Mitra, University of Pennsylvania
3:35 PM A Simulation Study for the Statistical Performance of Matching Adjusted Indirect Comparison
Presentation
Fan Wu, Biogen; Xiaoyu Jiang, Biogen; Katherine Riester, Biogen
 
 

409
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-110
Bayesian Space-Time Modeling — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Michael Grosskopf
2:05 PM Bayesian Spatio-Temporal Models for Map Reconstruction and Forest Inventory Prediction
Giovanni Petris, Univ of Arkansas; Avishek Chakraborty, University of Arkansas; Kamrul Khan, University of Arkansas; Ty Wilson, USDA Forest Service
2:20 PM Animal Movement Through Space and Time in a Hierarchical Bayesian Framework
Alex Oard; Athanasios Micheas, University of Missouri
2:35 PM Gaussian Copula Processes in Spatial Generalized Linear Models
Presentation
Robert Richardson, Brigham Young University
2:50 PM Constrained Functional Regression of National Forest Inventory Data Over Time Using Reconstructed Remote Sensing Observations
Presentation
Md Kamrul Hasan Khan, University of Arkansas; Avishek Chakraborty, University of Arkansas; Giovanni Petris, Univ of Arkansas; Ty Wilson, USDA Forest Service
3:05 PM Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (DAGAR) Models for Spatial Diseases Mapping
Leiwen Gao, UCLA; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Sudipto Banerjee, UCLA
3:20 PM Nearest Neighbor Co-Kriging Gaussian Process
Si Cheng, University of Cincinnati; Alex Konomi, University of Cincinnati
3:35 PM Bayesian Nested Lasso with Application to Mixed Frequency Data
Presentation
Satyajit Ghosh, Rutgers University; Kshitij Khare, University of Florida; George Michailidis, University of Florida
 
 

418
Tue, 7/30/2019, 2:00 PM - 2:45 PM CC-Hall C
SPEED: Biostatistical Methods, Application, and Education, Part 2 — Contributed Poster Presentations
Section on Medical Devices and Diagnostics, ENAR, Mental Health Statistics Section, Quality and Productivity Section, General Methodology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Oral Presentations for this session.
20: Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation
Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
21: Pre-Conceptions of Statistical Inference in Biostatistics
Aimee Schwab-McCoy, Creighton University
22: Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis
Brian Healy, Biostatistics Center/Massachusetts General Hospital
23: Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
24: Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists
Kedai Cheng; Derek Young, University of Kentucky
25: Coffee and Cardiovascular Disease Prevention
Anna Wu; Patrick Giuliano, Abbott
26: Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research
Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
27: Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data
Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
28: Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016
Yutaka Aoki, National Center for Health Statistics
29: Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting
E. Neeley Tass, Brigham Young University
30: Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices
Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
31: Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students
Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
32: Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates
Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
33: Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study
Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
34: Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study
Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
35: New Results on the Weighted Generalized Score for Comparing Two Correlated Means
Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
36: Sample Size Calculations in Single-Case Designs
Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
37: A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data
Benjamin W. Rogers, UCLA
38: Optimality in Group Testing Estimation with Misclassification
Md. S. Sarker, Radford University
Oral Presentations for this session.
 
 

427
Tue, 7/30/2019, 3:05 PM - 3:50 PM CC-Hall C
SPEED: Bayesian Methods, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
20: Bayesian Spatially Clustered Coefficient Regression
Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
21: Spatial Cox Model with Applications on Multiple Sclerosis Patients
HSIUCHING CHANG, IQVIA; Hyokoung Grace Hong, Michigan State Universtiy; Yu Yue, The City University of New York
22: Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
23: A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
24: A Bayesian Two-Part Quantile Regression Model for Count Data with Excess Zeros
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
25: Nonparametric Density Estimation and Regression Using Coarse Count Data
Jacob Coleman
26: Revisiting the Proton-Radius Problem Using Constrained Gaussian Processes
Shuang Zhou, Texas A&M University; Pablo Giulani, Florida State University; Jorge Piekarewicz, Florida State University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
27: An Investigation into How Model Uncertainty Is Reflected Through the Posterior Variance for Partial Regression Coefficients
Katharine Banner, Montana State University; Megan Higgs, Montana State University
28: An Objective Bayesian Multiple Testing for Correlated Binomial Proportions
Siva Sivaganesan, University of Cincinnati; Emrah Gecili, Cincinnati Children's Hospital Medical Center
29: Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
30: The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
31: Bayesian Model Selection and Averaging in the Presence of Latent Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
32: Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
33: Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine
34: Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
35: Bayesian Quantile Regression Applied to Time Between Healthcare-Associated Infection Events
Jonathan Edwards, Center for Disease Control & Prevention
36: A Distributed MCMC Sampler for Latent Dirichlet Allocation
Kelson Zawack, Yale University; Hongyu Zhao, Yale
37: High-Dimensional Posterior Consistency in Mixed Frequency Bayesian Vector Autoregressive Models
Nilanjana Chakraborty, University of Florida; George Michailidis, University of Florida; Kshitij Khare, University of Florida
38: A New Bayesian Person-Fit Analysis Method for Item Response Theory Models Using Pivotal Discrepancy Measures
Adam Combs, Robert Morris University
39: Ordinal Probit Functional Regression Models with Application to Computer-Use Behavior in Rhesus Monkeys
Mark Meyer, Georgetown University; Jeffrey S. Morris, M.D. Anderson Cancer Center; Regina Paxton Gazes, Bucknell University; Robert R. Hampton, Emory University and Yerkes National Primate Research Center; Brent A. Coull, Harvard T. H. Chan School of Public Health
Oral Presentations for this session.
 
 

218892
Tue, 7/30/2019, 5:30 PM - 7:00 PM Off Site
Section on Bayesian Statistical Science Business Meeting and Mixer — Other Cmte/Business
Section on Bayesian Statistical Science
Chair(s): Susan Paddock, RAND Corporation
 
 

Register 432
Wed, 7/31/2019, 7:00 AM - 8:15 AM H-Centennial Ballroom G-H
Section on Bayesian Statistical Science A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Bayesian Statistical Science
Organizer(s): Surya Tapas, Duke University
WL04: Mixture Prior for Sparse Signals with Dependent Covariance Structure
Ling Wang, Michigan State University
 
 

437 * !
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-603
Novel Bayesian Methods and Their Impacts on Scientific Applications — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association
Organizer(s): Arnab Kumar Maity, Texas A&M University
Chair(s): Arnab Kumar Maity, Texas A&M University
8:35 AM Bayesian Tensor Regression for Neuroimaging Data
Montserrat Fuentes, Virginia Commonwealth University; Hossein Moradi, South Dakota State University
9:00 AM Integrative Bayesian Models of High-Dimensional Count Data
Presentation
Marina Vannucci, Rice University
9:25 AM Data-Driven and Science-Driven Bayesian Methods in Astronomy and Solar Physics
David A van Dyk, Imperial College London
9:50 AM Power Curve Estimation Using Piecewise Logistic Gaussian Processes
Presentation
Bani Mallick, Texas A&M University
10:15 AM Floor Discussion
 
 

455 !
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-502
Recent Advances in Bayesian Computation: Theory and Methods — Topic Contributed Papers
IMS, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Vivekananda Roy, Iowa State University
Chair(s): Aixin Tan, University of Iowa
8:35 AM Convergence Complexity Analysis of MCMC Algorithms
James Hobert
8:55 AM Weighted Batch Means Estimators in Markov Chain Monte Carlo
Presentation
James Flegal, University of California, Riverside
9:15 AM Convergence Complexity of Gibbs Samplers for Bayesian Vector Autoregressive Processes
Presentation
Galin Jones, University of Minnesota; Karl Oskar Ekvall, University of Minnesota
9:35 AM Recent Advances in Bayesian Computation: Theory and Methods
Presentation
Murali Haran, Penn State University; Jaewoo Park, Penn State University
9:55 AM Bayesian Registration of Functions with a Gaussian Process Prior
Radu Herbei, Ohio State University; Yi Lu, Drew University; Sebastian Kurtek, The Ohio State University
10:15 AM Floor Discussion
 
 

461 * !
Wed, 7/31/2019, 8:30 AM - 10:20 AM CC-704
Bayesian Statistical Methods for High-Throughput Toxicity Testing and Risk Assessment — Topic Contributed Papers
Section on Risk Analysis, Section on Statistics and the Environment, Section on Bayesian Statistical Science
Organizer(s): Michael Pennell, Ohio State University
Chair(s): Jonathan Race, The Ohio State University
8:35 AM Using ToxCast Data for Statistical Research in Chemical Risk Assessment.
Presentation
Matthew W Wheeler, CDC/NIOSH
8:55 AM Nonparametric Bayesian Joint Modeling of High-Throughput and Low-Throughput Genotoxicity Data
Presentation
Michael Pennell, Ohio State University; Matthew W Wheeler, CDC/NIOSH
9:15 AM Bayesian Partially Shared Latent Factor Joint Model for Chemical Structure and Dose Response Curves
Presentation
Kelly R. Moran, Duke University; Amy H Herring, Duke University; David Dunson, Duke University
9:35 AM Linked Matrix Factorization
Presentation
Michael O'Connell, Miami University
9:55 AM Hierarchical Bayesian Methods for High-Throughput in Vitro Population-Based Chemical Screening
Presentation
Weihsueh Chiu, Texas A&M University; Fred A Wright, North Carolina State University; Ivan Rusyn, Texas A&M University
10:15 AM Floor Discussion
 
 

478 * !
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-707
Scalable Bayesian Models for Time Series and Dynamic Networks: Making an Impact in Business and Socio-Economic Applications — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Business and Economic Statistics Section
Organizer(s): Mike West, Duke University
Chair(s): Mike West, Duke University
10:35 AM Bayesian Forecasting of High-Dimensional Count-Valued Time Series: Massive Data in Consumer Sales Forecasting
Presentation 1 Presentation 2 Presentation 3
Lindsay Berry, Duke University; Mike West, Duke University; Paul Helman, 84.51°
11:00 AM Bayesian Decouple/Recouple Modeling for Large-Scale Dynamic Network Flow Studies
Presentation
Xi Chen, LinkedIn Corporation; David Banks, SAMSI/Duke University; Mike West, Duke University
11:25 AM Online Learning and Variable Selection for High-Dimensional Time Series with Simultaneous Graphical Dynamic Linear Models
Lutz F Gruber, QuantCo, Inc.; Mike West, Duke University
11:50 AM A Bayesian Approach to Trajectory-Based Longitudinal Networks, with Application to the European Interbank Market
Presentation
Antonietta Mira, Università della Svizzera italiana and Università dell'Insubria; Federica Bianchi, Univesità della Svizzera italiana; Stefano Peluso, Cattolica University and Università della Svizzera italiana; Francesco Bartolucci, University of Perugia
12:15 PM Floor Discussion
 
 

Register 536
Wed, 7/31/2019, 12:30 PM - 1:50 PM H-Centennial Ballroom G-H
Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
Organizer(s): Surya Tapas, Duke University
WL12: Modern Bayesian Software: Current Capability and Usage
Fang Chen, SAS Institute Inc
 
 

550 * !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-605
Statistics on Street Corners — Invited Papers
Section on Statistical Graphics, Section on Statistical Computing, Section on Bayesian Statistical Science
Organizer(s): Dianne Cook, Monash University
Chair(s): Heike Hofmann, Iowa State University
2:05 PM Visual Inference for Model Checking
Presentation
Adam Loy, Carleton College; Heike Hofmann, Iowa State University; Dianne Cook, Monash University
2:20 PM Can You Become Skillful Over Time to Influence Visual Inference
Presentation
Mahbubul Majumder, University of Nebraska at Omaha; Dianne Cook, Monash University; Heike Hofmann, Iowa State University
2:35 PM Deep Visual Inference: Teaching Computers to See Rather Than Calculate Correlation
Presentation
Giora Simchoni, vFunction
2:50 PM Statistical Lineups for Bayesians
Presentation
Susan Vanderplas, Iowa State University; Heike Hofmann, Iowa State University
3:05 PM Discussant: Hadley Wickham, RStudio
3:35 PM Floor Discussion
 
 

563 !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-709
Recent Advances in Bayesian Structure Learning — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association
Organizer(s): Jyotishka Datta, University of Arkansas
Chair(s): Daniel Taylor-Rodriguez, Portland State University
2:05 PM Nonparametric Graphical Model for Counts
Presentation
Arkaprava Roy, Duke University; David Dunson, Duke University
2:25 PM Bayesian Structure Learning in Graphical Models Using Shrinkage Priors
Presentation
Sayantan Banerjee, Indian Institute of Management Indore
2:45 PM Recent Advances in Bayesian Structure Learning
Nilabja Guha
3:05 PM Bayesian Inference in Nonparanormal Graphical Models
Presentation
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
3:25 PM Bayesian Semiparametric Functional Mixed Models
Abhra Sarkar, The University of Texas at Austin; Giorgio Paulon, The University of Texas at Austin; Bharath Chandrsekaran, University of Pittsburg; Fernando Llanos, University of Pittsburgh
3:45 PM Floor Discussion
 
 

572
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-708
Sparsity and Variable Selection in Posterior Inference — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Santosh Sutradhar, Merck & Co., Inc.
2:05 PM A Fully-Bayesian Approach to Sparse Reduced-Rank Multivariate Regression
Presentation
Dunfu Yang, Kansas State University; Gyuhyeong Goh, Kansas State University; Haiyan Wang, Kansas State University
2:20 PM Bayesian Selection of Best Subsets in High-Dimensional Regression
Presentation
Shiqiang Jin, Kansas State University; Gyuhyeong Goh, Kansas State University
2:35 PM A Bayesian Sparse Hierarchical Factor Model for Simultaneous Covariance Estimation
Debamita Kundu, University of Louisville; Jeremy T. Gaskins, University of Louisville; Riten Mitra, University of Louisville
2:50 PM Spike-And-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
Presentation
Ray Bai; Gemma Moran, University of Pennsylvania; Joseph Antonelli, University of Florida
3:05 PM Revisiting High-Dimensional Bayesian Model Selection for Gaussian Regression
Presentation
Zikun Yang, Indiana University Bloomington; Andrew Womack, Indiana University
3:20 PM A Random Neighborhood Method for Bayesian Semiparametric Conditional Density Estimation
Presentation
Nong Shang, CDC
3:35 PM Floor Discussion
 
 

573
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-710
Simulation and Stochastic Bayesian Modeling — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Zhenyi Xue, AbbVie
2:05 PM Dirichlet Process Gaussian Process Model for Photometric Redshift
Arindam Fadikar; David Higdon, Virginia Tech; Jonas Chaves-Montero, Argonne National Lab; Salman Habib, Argonne National Lab
2:20 PM Computer Model Emulation with High-Dimensional Zero-Inflated Spatial Data: An Application to Storm Surge
Pulong Ma, SAMSI/Duke University
2:35 PM Spatio-Temporal Causal Intervention Effects for Opiate Overdose Incidents in Cincinnati, Ohio
Presentation
Zehang Richard Li, Yale University; Forrest W Crawford, Yale School of Public Health; Joshua Warren, Yale University; Katie McConnell, Yale University; Gregg Gonsalves, Yale School of Public Health
2:50 PM Bayesian Multi-Dimensional Functional Data Analysis
Presentation
John Shamshoian, UCLA School of Public Health; Donatello Telesca, UCLA
3:05 PM Posterior Model Consistency with G-Priors in High-Dimensional Regression Models
Presentation
Min Hua, Kansas State University; Gyuhyeong Goh, Kansas State University
3:20 PM Bayesian Stochastic Frontier Models for Productivity Index
Presentation
Ehsan Soofi, Univ of Wisconsin-Milwaukee; Jessie Nouri, University of Wisconsin-Milwaukee
3:35 PM Floor Discussion
 
 

578
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-502
Bayesian Methodologies in Sports Statistics — Contributed Papers
Section on Statistics in Sports, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Stephanie Kovalchik, Tennis Australia/Victoria University
2:05 PM Bayesian Prediction of Metrics in Professional Sports
Richard Warr, Brigham Young University; Gil Fellingham, Brigham Young University
2:20 PM Model Based Estimation of Baseball Batting Metrics
Lahiru Wickramasinghe, University of Manitoba; Alexandre Leblanc, University of Manitoba; Saman Muthukumarana, University of Manitoba
2:35 PM Forecasting Seasonal Batting Outcomes via a Mixed Effects Multinomial-Logistic-Normal Model
Presentation
Eric A. E. Gerber, Purdue University; Bruce A. Craig, Purdue University
2:50 PM Probabilistic Forecasts for Chess Player Elo Ratings
Presentation
Bradford Westgate, Alma College
3:05 PM Bayesian Hierarchical Modeling of Field Goals in the NFL
Sudipto Banerjee, UCLA; Jay Xu, University of California, Los Angeles
3:20 PM Ranking NCAA Women's Volleyball Teams Accounting for Scoring Inequities
Presentation
Scott Grimshaw, Brigham Young University; Gil Fellingham, Brigham Young University
3:35 PM A Bayesian Model for Predicting Point Differentials in Sports Using Ratios
Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha
 
 

585 * !
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-102
Exploiting Latent Structure for Network Inference — Invited Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, Section on Bayesian Statistical Science
Organizer(s): Avanti Athreya, Johns Hopkins University
Chair(s): Minh Tang, Johns Hopkins University
8:35 AM Leveraging Exchangeability Assumptions to Make Inference in Regression with Network Outcomes
Bailey Fosdick, Colorado State University
9:00 AM Overlapping Clustering Models, and One (Class) SVM to Bind Them All.
Purnamrita Sarkar, University of Texas, Austin
9:25 AM 'Statistics 101' for Network Data Objects
Eric Kolaczyk, Boston University
9:50 AM Consistency in Vertex Nomination
Vince Lyzinski, University of Massachusetts Amherst
10:15 AM Floor Discussion
 
 

591 !
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-502
Recent Advances in the Bayesian Modeling of Large Scale Neuroimaging Data for Brain Activation and Connectivity — Invited Papers
Section on Bayesian Statistical Science, Section on Statistics in Imaging, Section on Statistical Learning and Data Science
Organizer(s): Rajarshi Guhaniyogi, University of California, SC
Chair(s): Donatello Telesca, UCLA
8:35 AM Multi-Scale Factor Analysis of High-Dimensional Connectivity in Brain Networks
Presentation 1 Presentation 2 Presentation 3
Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Chee-Ming Ting, KAUST
9:00 AM Bayesian Approaches for Dynamic Brain Connectivity
Michele Guindani, University of California, Irvine; Marina Vannucci, Rice University; Erik Erhardt, University of New Mexico
9:25 AM Bayesian Supervised Tensor Modeling for Large Scale Imaging Data
Rajarshi Guhaniyogi, University of California, SC
9:50 AM On the Bayesian Spatial Analysis of Brain Activation in fMRI
John Kornak, University of California, San Francisco
10:15 AM Floor Discussion
 
 

604 * !
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-112
Bayesian Inference in Discrete Choice Analysis of Consumer Behavior — Topic Contributed Papers
Business and Economic Statistics Section, Section on Bayesian Statistical Science, Section on Statistics in Marketing
Organizer(s): Kali Chowdhury, University of California, Irvine
Chair(s): Imran Currim, University of California, Irvine
8:35 AM Flexible Functional Specification in Hierarchical Bayesian Estimation of Discrete Choices
Kali Chowdhury, University of California, Irvine
8:55 AM A Flexible Method for Demand Forecasting with Structural Decomposition
Presentation
Mingyu Joo, UC Riverside; Chul Kim, Baruch College (CUNY); Dongsoo Kim, Ohio State University
9:15 AM A Model for Built Environment Effects on Mode Usages
Presentation
Kai Yoshioka, University of California, Irvine; Tomomi Miyazaki, Kobe University
9:35 AM Discussant: Cheryl Hild, Lincoln Memorial University
9:55 AM Floor Discussion
 
 

613
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-504
Robust Learning and Posterior Summary — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Stephanie M Coffey, U.S. Census Bureau
8:35 AM Bayesian Multiple Testing Using Student’s T-Distribution
G. M. Nilupika Kumari Herath, Department of Mathematical Sciences, University of Cincinnati,Ohio 45221; Siva Sivaganesan, University of Cincinnati
8:50 AM An Empirical G-Wishart Prior for Sparse High-Dimensional Gaussian Graphical Models
Presentation
Chang Liu, North Carolina State University; Ryan Martin, North Carolina State University
9:05 AM High-Dimensional Multivariate Posterior Contraction Rate Under Shrinkage Priors
Presentation
Ruoyang Zhang, University of Florida; Malay Ghosh, University of Florida
9:20 AM Consistent Group Selection with Bayesian High-Dimensional Modeling
Xinming Yang, University of Illinois at Urbana-Champaign; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign
9:35 AM Interpretable Posterior Summaries Using the Wasserstein Distance
Presentation 1 Presentation 2
Eric Arthur Dunipace, Harvard TH Chan School of Public Health; Lorenzo Trippa, Dana-Farber Cancer Institute
9:50 AM A Bayesian Hierarchical Mixture Model with Applications in Forensic Handwriting Analysis
Presentation
Amy Crawford, Iowa State University; Danica Ommen, Iowa State University; Alicia Carriquiry, Iowa State University
10:05 AM A Hierarchical Spatial Finlay-Wilkinson Model for Multi-Environment Trial Analysis
Presentation
Xingche Guo, Iowa State University; Somak Dutta, Iowa State University; Dan Nettleton, Iowa State University
 
 

645 * !
Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-107
Bayesian Optimization — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistical Computing, International Society for Bayesian Analysis (ISBA)
Organizer(s): Tony Pourmohamad, Genentech
Chair(s): Jasper Snoek, Google Brain
10:35 AM The Statistical Filter Approach to Constrained Optimization
Herbert Lee, Univ of California, Santa Cruz
10:55 AM Bayesian Optimization via Barrier Functions
Presentation
Tony Pourmohamad, Genentech; Herbert Lee, Univ of California, Santa Cruz
11:15 AM Bayesian Optimization for Policy Search via Online-Offline Experimentation
Eytan Bakshy, Facebook; Benjamin Letham, Facebook
11:35 AM Automating Bayesian Optimization with Bayesian Optimization
Presentation
Roman Garnett, Washington Univeristy in St. Louis; Gustavo Malkomes, Washington University in St. Louis
11:55 AM Bayesian Optimization for Robotics
Presentation
Roberto Calandra, Facebook AI Research
12:15 PM Floor Discussion
 
 

649 !
Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-108
Recent Advances in Spatial and Spatial-Temporal Methods — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistics in Epidemiology, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Cici Bauer, UTHealth
Chair(s): Caroline P Groth, Feinberg School of Medicine, Northwestern University
10:35 AM Using Spatiotemporal Models to Generate Synthetic Data for Public Use
Presentation
Harrison Quick, Drexel University; Lance Waller, Emory University
10:55 AM A Spatially Varying Change Points Model for Monitoring Glaucoma Progression Using Visual Field Data
Joshua Warren, Yale University; Samuel Berchuck, Duke University; Jean-Claude Mwanza, UNC Chapel Hill
11:15 AM Spatio-Temporal Model to Predict Extreme Heat Events at Unobserved Locations
Erin Schliep, University of Missouri; Alan E Gelfand, Duke University
11:35 AM Stratified Space–time Infectious Disease Modeling, with an Application to Hand, Foot and Mouth Disease in China
Cici Bauer, UTHealth
11:55 AM Assessing Environmental Factors of Histoplasmosis: a Spatio-Temporal Analysis
Kimberly Kaufeld, Los Alamos National Laboratory
12:15 PM Floor Discussion