Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
4 * !
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-310
Safety Evaluation, Data Sources, and Statistical Strategies: Transforming Information into Evidence — Invited Papers
ENAR
Organizer(s): Olga Marchenko, QuintilesIMS
Chair(s): Matilde Sanchez-Kam
2:05 PM
Sources of Safety Data and Statistical Strategies for Design and Analysis in Clinical Trials
—
Richard C. Zink, JMP Life Sciences, SAS Institute, Inc.
2:30 PM
Transforming Real World Data into Evidence
—
Estelle Russek-Cohen, U.S. Food and Drug Administration ; Mark Levenson, FDA ; Qi Jiang, Amgen Inc. ; Richard C. Zink, JMP Life Sciences, SAS Institute, Inc. ; Michelle Krukas, QuintilesIMS ; Olga Marchenko, QuintilesIMS
2:55 PM
Healthcare Data and Tools for Post-Market Drug Safety
—
Mark Levenson, FDA
3:20 PM
Discussant: Qi Jiang, Amgen Inc.
3:40 PM
Floor Discussion
31
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-311
Methodological Advancements in Biostatistics — Contributed Papers
ENAR
Chair(s): Jacquelyn Neal, Vanderbilt University
2:05 PM
Testing Hypotheses About a Ratio of Medians Using Conover's Rank Transformation
—
Donald Schuirmann, U.S. FDA
2:20 PM
Model Validation and Influence Diagnostics for Regression Models with Missing Covariates
—
Paul Bernhardt, Villanova University
2:35 PM
Investigating Multiple Imputation in Cluster Randomized Trials
—
Brittney Bailey, The Ohio State University ; Rebecca Andridge, Ohio State University ; Abigail Shoben, The Ohio State University
2:50 PM
Re-Conceptualizing the P-Value: a Probabilistic Comparison of Models Using Discrepancy Measures
—
Benjamin Nathaniel Riedle, University of Iowa ; Joseph Cavanaugh, University of Iowa ; Andrew Neath, SIU Edwardsville
3:05 PM
Tukey G-And-H Autoregressive Processes for Non-Gaussian Time Series
—
Yuan Yan, KAUST ; Marc G. Genton, KAUST
3:20 PM
Evaluating Particle Filtering Methods for Complex Multi-Pathogen Disease Systems
—
Xi Meng, University of Massachusetts Amherst ; Nicholas G. Reich, University of Massachusetts Amherst
3:35 PM
The Modified Concordance Correlation Coefficient Estimators
—
Parichart Pattarapanitchai, Department of Statistics, Faculty of Science, Silpakorn University ; Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY
42
Sun, 7/30/2017,
2:00 PM -
3:50 PM
CC-348
A Cornecopia of Statistics — Contributed Papers
General Methodology , Section on Statistics in Defense and National Security , ENAR , WNAR , Section on Teaching of Statistics in the Health Sciences , Section on Physical and Engineering Sciences , Biometrics Section
Chair(s): Minge Xie, Rutgers University
2:05 PM
Time Series Disaggregation for Simulation of Spare Parts Inventory Management
—
Thomas Willemain, Rensselaer Polytechnic Institute ; Adam George Petrie, University of Tennessee
2:20 PM
Variance Estimation for the Sample Mean of Dependent Data Stream
—
Lei Jin, Texas A&M University -Corpus Christi
2:35 PM
Clustering Adult Cystic Fibrosis and Chronic Obstructive Pulmonary Disease Patients Based on Lung Function Dynamics
—
Barbara Bailey, San Diego State University
2:50 PM
Computation of Ancestry Scores with Mixed Families and Unrelated Individuals
—
Fred Wright, North Carolina State University ; Yi-Hui Zhou, North Carolina State University ; J. S. (Steve) Marron, University of North Carolina
3:05 PM
Very High Energy Particle-Beam and Gamma Radiation Exposure and Familial Relatedness in Mice
—
Mark P Little, National Cancer Institute ; Pavel Chernyavskiy, National Cancer Institute ; Elijah Edmondson, Frederick National Laboratory for Cancer Research ; Michael Weil, Colorado State University
3:35 PM
Estimation of the Variance of Nonparametric Trend Estimates from Time Series Replicates Using the Empirical Moment Generating Function
—
Sucharita Ghosh, Swiss Federal Research Institute WSL
44 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-308
Joint Modeling of Longitudinal Data, Recurrent Events, and a Terminal Event — Invited Papers
ENAR , Biometrics Section , Lifetime Data Analysis Interest Group
Organizer(s): Xuelin Huang, M D Anderson Cancer Center
Chair(s): Liang Li, University of Texas MD Anderson Cancer Center
4:05 PM
Analyzing Recurrent Marker Data in the Presence of a Terminal Event: Does the Terminal Event Form a Source of Informative Censoring?
—
Mei-Cheng Wang, Johns Hopkins University
4:30 PM
Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression
—
Xuelin Huang, M D Anderson Cancer Center ; Fangrong Yan, China Pharmaceutical Univeristy ; Ruosha Li, University of Texas Health Science Center at Houston ; Jing Ning, University of Texas MD Anderson Cancer Center ; Xiao Lin, China Pharmaceutical University/MD Anderson Cancer Center
4:55 PM
Censoring Unbiased Regression Trees and Ensembles
—
Robert Strawderman, University of Rochester
5:20 PM
Joint Modeling of Marker and Event Processes While Adjusting for Dependent Observation
—
Richard John Cook, University of Waterloo
5:45 PM
Floor Discussion
47 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-320
Challenges in the Integrative Analysis of Multiple Genomics Studies — Invited Papers
Biometrics Section , ENAR , Section on Statistics in Genomics and Genetics
Organizer(s): Sihai Dave Zhao, University of Illinois at Urbana-Champaign
Chair(s): Ruijun Ma, Rutgers University
4:05 PM
Integrative Genetic Risk Prediction Using Nonparametric Empirical Bayes Classification
—
Sihai Dave Zhao, University of Illinois at Urbana-Champaign
4:30 PM
Estimating Effect-Size Distribution from Summary-Level Statistics for Large Genome-Wide Association Studies
—
Yan Zhang, Johns Hopkins Bloomberg School of Public Health ; Nilanjan Chatterjee, Johns Hopkins University
4:55 PM
Selective Inference in Genomics
—
Chiara Sabatti, Stanford University
5:20 PM
Discussant: Hongyu Zhao, Yale University
5:45 PM
Floor Discussion
54 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-314
Enabling Reproducibility in Statistical Translations of Genomics Data for Biomedical Research — Invited Papers
ENAR , Biometrics Section , Caucus for Women in Statistics , Section on Statistics in Genomics and Genetics
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Therri Usher, FDA
4:05 PM
Handle Heterogeneity in Pooled Studies
—
Mengling Liu, New York University School of Medicine
4:30 PM
Normalization and Reproducibility in Single Cell RNA-Seq
—
Zhijin Wu, Brown University
4:55 PM
A Cautionary Note on the Validation Method for Molecular Classification Studies
—
Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
5:20 PM
Discussant: Naomi Altman, Penn State University
5:45 PM
Floor Discussion
83
Sun, 7/30/2017,
8:30 PM -
10:30 PM
CC-Halls A&B
Your Invited Poster Evening Entertainment: No Longer Board — Invited Poster Presentations
Astrostatistics Special Interest Group , Biometrics Section , Biopharmaceutical Section , Business and Economic Statistics Section , ENAR , Government Statistics Section , IMS , International Society for Bayesian Analysis (ISBA) , Section for Statistical Programmers and Analysts , Section on Statistical Consulting , Section on Statistical Education , Section on Statistical Learning and Data Science , Section on Statistics and the Environment , Social Statistics Section , Survey Research Methods Section , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1:
Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO)
—
Gutti Jogesh Babu, The Pennsylvania State University ; David Jones, SAMSI / Duke
2:
A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest
—
Collin Eubanks, Carnegie Mellon University ; Jessi Cisewski, Yale University ; Rupert Croft, Carnegie Mellon University ; Doug Nychka, National Center for Atmospheric Research ; Larry Wasserman, Carnegie Mellon
3:
Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations
—
Gwendolyn Eadie, McMaster University ; Benjamin Keller, McMaster University ; William Harris, McMaster University ; Aaron Springford, Queen's University
4:
Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives
—
David Van Dyk, Imperial College London ; Sara Algeri, Imperial College London ; Jan Conrad, University of Stockholm
5:
Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data
—
David Craig Stenning, SAMSI/Duke University ; Working Group 1 ASTRO Program, SAMSI
6:
The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression
—
Wei Sun, Fred Hutchinson Cancer Research Center
7:
Rerandomization: a Flexible Framework for Experimental Design
—
Kari Lock Morgan, Penn State University
8:
IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression
—
Nicholas Aaron Syring, NCSU ; Ryan Martin, NCSU
9:
Detecting Differential Gene Expression by Single-Cell RNA Sequencing
—
Mingyao R Li, University of Pennsylvania ; Cheng Jia, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10:
Statistical Science and Policy at the EPA
—
Elizabeth Mannshardt, US Environmental Protection Agency
11:
Approximate Message Passing Algorithms for High-Dimensional Regression
—
Cynthia Rush, Columbia University
12:
Generalized Fiducial Inference for High-Dimensional Data
—
Jan Hannig, University of North Carolina at Chapel Hill ; Jonathan P Williams, University of North Carolina at Chapel Hill
13:
The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution
—
Ruobin Gong, Harvard University ; Xiao-Li Meng, Harvard University
14:
Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees
—
Suzanne Thornton, Rutgers University ; Minge Xie, Rutgers University
15:
R Package TDA for Statistical Inference on Topological Data Analysis
—
Jisu Kim, Carnegie Mellon University
16:
Teaching a Large, Project-Based Statistical Consulting Class
—
Emily Griffith, NC State University
17:
Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential!
—
Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18:
The Geometry of Synchronization Problems and Learning Group Actions
—
Tingran Gao, Duke University ; Jacek Brodzki, University of Southampton ; Sayan Mukherjee, Duke University
19:
Sufficient Markov Decision Processes with Alternating Deep Neural Networks
—
Longshaokan Wang, North Carolina State University ; Eric Laber, North Carolina State University ; Katie Witkiewitz, University of New Mexico
20:
Optimal Dynamic Treatment Regimes Using Decision Lists
—
Yichi Zhang, Harvard University ; Eric Laber, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
21:
Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression
—
Lei Ding, Indiana University ; Daniel J. McDonald, Indiana University
22:
Computer Vision Meets Television
—
Taylor Arnold, University of Richmond ; Lauren Tilton, University of Richmond
23:
Generalized Fiducial Inference for Nonparametric Function Estimation
—
Randy C.S. Lai, University of Maine
24:
A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data
—
Justin David Silverman, Duke University ; Sayan Mukherjee, Duke University ; Lawrence A David, Duke University
25:
Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction
—
John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
26:
Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models
—
Yawen Guan, Penn State University ; Murali Haran, Pennsylvania State University
27:
Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments
—
Alexandra Chouldechova, Carnegie Mellon University
28:
I Ran a Nonresponse Follow-Up Survey; Now What Do I Do?
—
Phillip Kott, RTI
94 * !
Mon, 7/31/2017,
8:30 AM -
10:20 AM
CC-314
Suicidal Ideation, Behavior, and Risk: Assessing Mediating Factors and Designing Interventions — Invited Papers
Biometrics Section , Mental Health Statistics Section , ENAR
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Pilar Lim, Janssen Research & Development, LLC
8:35 AM
Mediation, Interaction, and Causation in the Associations Between Religious Service Attendance and Suicide
—
Tyler J. VanderWeele, Harvard University
9:00 AM
Childhood Depression, Adolescent Alcohol Use and Suicide Attempt: An Exploration of Moderated Mediation
—
Rashelle Jean Musci, Johns Hopkins Bloomberg School of Public Health ; Trang Q Nguyen, Johns Hopkins Bloomberg School of Public Health ; Nicholas Ialongo, Johns Hopkins Bloomberg School of Public Health ; Holly Wilcox, Johns Hopkins School of Medicine
9:25 AM
An Ordinal Mediation Analysis to Assess the Extent to Which a Change in Suicide Risk Is Mediated by or Independent of Improvement in Depression Symptoms
—
Yun Zhang, Janssen Research & Development, LLC ; Rosanne Lane, Janssen Research & Development, LLC ; Pilar Lim, Janssen Research & Development, LLC
9:50 AM
Discussant: Elizabeth Stuart, Johns Hopkins University
10:15 AM
Floor Discussion
95 * !
Mon, 7/31/2017,
8:30 AM -
10:20 AM
CC-303
Statistical Validation of Surrogate Endpoints — Invited Papers
Pharmaceutical Research and Manufacturers of America , Biopharmaceutical Section , ENAR
Organizer(s): Hong Tian, Janssen Research and Development
Chair(s): Sudhakar Rao
8:35 AM
Response Biomarker Versus Surrogate Endpoints Validation: Evolution of Statistical Approaches
—
Sue-Jane Wang, FDA
9:00 AM
Surrogacy for Regulatory Approval: The Follicular Lymphoma Analysis of Surrogate Hypothesis (FLASH) Project
—
Qian Shi, Mayo Clinic
9:25 AM
The Surrogate Threshold Effect for Event-Free Survival as a Potential Surrogate for Overall Survival in Patients Treated for Acute Myeloid Leukemia
—
Marc Buyse, IDDI Inc. ; Richard Schlenk, University Hospital of Ulm, Germany ; Hartmund Dohner, University Hospital of Ulm, Germany ; Tomasz Burzykowski, IDDI S.A.
9:50 AM
Issues Related to Statistical Validation of Minimal Residual Disease as a Surrogate Endpoint for Clinical Trials and Drug Approvals in AML
—
Liang Xiu, Janssen Research and Development ; Rianka Bhattacharya, Janssen Research and Development ; Jianan Hui, University of California, Riverside ; Hong Tian, Janssen Research and Development
10:15 AM
Floor Discussion
97 * !
Mon, 7/31/2017,
8:30 AM -
10:20 AM
CC-315
Mediation in the Presence of Post-Treatment Common Causes of the Mediator and the Outcome — Invited Papers
ENAR , Section on Statistics in Epidemiology , General Methodology
Organizer(s): Judith Lok, Harvard T H Chan School of Public Health, Tyler J. VanderWeele, Harvard University
Chair(s): Peng Ding, University of California, Berkeley
8:35 AM
Interventional Effects for Mediation Analysis with Multiple Mediators
—
Stijn Vansteelandt, Ghent University ; Rhian Daniel, London School of Hygiene & Tropical Medicine
8:55 AM
Parametric Mediational G-Formula Approach to Mediation Analysis with Time-Varying Exposures, Mediators, and Confounders: An Application for Smoking, Weight, and Blood Pressure
—
Sheng-Hsuan Lin, Columbia Mailman School of Public Health
9:15 AM
Partial Identification Bounds and Path-Specific Effects: Two (More) Options When Faced with Exposure-Induced Confounding
—
Caleb Hilliard Miles, University of California, Berkeley ; Ilya Shpitser, Johns Hopkins University ; Phyllis Kanki, Harvard T.H. Chan School of Public Health ; Seema Meloni, Harvard T.H. Chan School of Public Health ; Eric Tchetgen Tchetgen, Harvard University
9:35 AM
Organic Direct and Indirect Effects with Post-Treatment Common Causes of the Mediator and the Outcome
—
Judith Lok, Harvard T H Chan School of Public Health
9:55 AM
Discussant: Linda Valeri, Harvard University
10:15 AM
Floor Discussion
99 * !
Mon, 7/31/2017,
8:30 AM -
10:20 AM
CC-316
Causal Inference for Infectious Disease Outcomes: Interference, Contagion, and Networks — Invited Papers
Section on Statistics in Epidemiology , Biometrics Section , ENAR
Organizer(s): Forrest W Crawford, Yale School of Public Health
Chair(s): M. Elizabeth Halloran, Fred Hutchinson Cancer Research Center
8:35 AM
Randomization inference with general interference and censoring
—
Wen Wei Loh, UNC ; Michael Hudgens, UNC
8:55 AM
Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations
—
Forrest W Crawford, Yale School of Public Health
9:15 AM
Identification and Semiparametric Estimation of Causal Effects for Contagious Processes
—
Elizabeth L Ogburn, Johns Hopkins University
9:35 AM
Estimation of Causal Effects in Randomized Trials of Infectious Disease Prevention with General Interference
—
Nicole Bohme Carnegie, University of Wisconsin-Milwaukee
9:55 AM
Discussant: Victor De Gruttola, Harvard T. H. Chan School of Public Health
10:15 AM
Floor Discussion
145 * !
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-315
Statistical Methods in Data Integration and Data Harmonization — Invited Papers
ENAR , WNAR , IMS , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Peter XK Song, University of Michigan,
Chair(s): Peter XK Song, University of Michigan,
10:35 AM
Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources
—
Nilanjan Chatterjee, Johns Hopkins University ; Runlong Tang, Johns Hopkins University ; Prosenjit Kundu, Johns Hopkins University
11:00 AM
Meta-Analysis with Extremely Small Number of Studies
—
Lu Tian, Stanford University ; Minge Xie, Rutgers University ; LJ Wei, Harvard University
11:25 AM
Integrating Imaging and Genetic Data for Understanding Neuropsychological Disorders
—
Heping Zhang, Yale University School of Public Health ; Canhong Wen, Sun Yat-Sen University ; Chintan Mehta, Yale University
11:50 AM
Discussant: Ryan Martin, NCSU
12:15 PM
Floor Discussion
202 * !
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-340
New Exploratory Methods and Inference Approaches for Massive Multi-Modal Data with Applications to Brain Imaging — Invited Papers
Section on Statistics in Imaging , ENAR , Biometrics Section
Organizer(s): Hernando Ombao, KAUST and UC Irvine
Chair(s): Hernando Ombao, KAUST and UC Irvine
2:05 PM
Structure-Function Coupling in Multimodal Neuroimaging
—
Russell Shinohara, University of Pennsylvania ; Kristin Linn, University of Pennsylvania ; David Roalf, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Simon Vandekar, University of Pennsylvania
2:30 PM
A Bayesian Approach for Multi-¬Subject Effective Connectivity Inference Using Multi-¬Modal Neuroimaging Data
—
Michele Guindani, University of California, Irvine
2:55 PM
Beyond Linear Algebra: Analysis of Functional Connectivity with Dense Graph Limit Theory
—
Peter Diao, SAMSI
3:20 PM
A Variance Components Model for Statistical Inference on Functional Connectivity Networks
—
Mark Fiecas, University of Minnesota
3:45 PM
Floor Discussion
204 * !
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-308
Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data — Invited Papers
ENAR , Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Jian Kang, University of Michigan, Yize Zhao, Weill Cornell Medicine, Cornell University
Chair(s): Yize Zhao, Weill Cornell Medicine, Cornell University
2:05 PM
Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data
—
Ciprian M Crainiceanu, Johns Hopkins University
2:30 PM
High-Dimensional Multivariate Mediation with Application to Neuroimaging Data
—
Martin Lindquist, Johns Hopkins University
2:55 PM
Functional Data Modeling of Dynamic PET Data
—
R. Todd Ogden, Department of Biostatistics, Columbia University ; Yakuan Chen, Columbia University ; Jeff Goldsmith, Columbia University
3:20 PM
Functional Regression Models for Nonignorable Missing Scalar Responses
—
Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Tengfei Li, MD Anderson
3:45 PM
Floor Discussion
224 !
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-317
Recently Developed Survival Analysis Methods with Applications to End-Stage Renal Disease Data — Topic Contributed Papers
ENAR
Organizer(s): Douglas Earl Schaubel, University of Michigan
Chair(s): Yan Zhou, FDA
2:05 PM
Instrumental Variable Methods for Censored Data
—
Douglas Lehmann, University of Miami ; Yun Li, University of Michigan ; Douglas Earl Schaubel, University of Michigan
2:25 PM
Dynamic Prediction of End-Stage Renal Disease Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease
—
Liang Li, University of Texas MD Anderson Cancer Center
2:45 PM
A C-Index for Recurrent Event Data: Application to Hospitalizations among Dialysis Patients
—
Sehee Kim, Universty of Michigan ; Douglas Earl Schaubel, University of Michigan ; Keith P McCullough, Arbor Research Collaborative for Health
3:05 PM
Inter-Unit Reliability for Evaluating Dialysis Facilities
—
Kevin He, University of Michiga ; John Kalbfleisch, University of Michigan
3:25 PM
A Flexible Joint Longitudinal-Survival Model for a Simultaneous Modeling of Multiple Longitudinal Biomarkers
—
Sepehr Akhavan Masouleh, UC Irvine ; Babak Shahbaba, University of California, Irvine ; Alexander Vandenberg-Rodes, UC Irvine ; Daniel L. Gillen, University of California, Irvine
3:45 PM
Floor Discussion
270 *
Tue, 8/1/2017,
8:30 AM -
10:20 AM
CC-339
Intersection of Econometrics and Biometrics in Making Policy and Treatment Determinations — Invited Papers
Business and Economic Statistics Section , Biometrics Section , ENAR
Organizer(s): Eva Petkova, New York University School of Medicine
Chair(s): Thaddeus Tarpey, Wright State University
8:35 AM
On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
—
Wei Luo, Baruch College ; Yeying Zhu, University of Waterloo ; Debashis Ghosh, Colorado School of Public Health
9:00 AM
Generated Effect Modifiers in Linear and Nonparametric Models
—
Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; Hyung Park, Columbia University ; Zhe Su, New York University School of Medicine ; R. Todd Ogden, Department of Biostatistics, Columbia University
9:25 AM
Learning heterogeneity in causal inference using sufficient dimension reduction
—
Wenbo Wu, University of Oregon ; Wei Luo, Baruch College ; Yeying Zhu, University of Waterloo
9:50 AM
Sparse semi-parametric generated effect modifiers
—
Hyung Park, Columbia University ; Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; R. Todd Ogden, Department of Biostatistics, Columbia University
10:15 AM
Floor Discussion
277 *
Tue, 8/1/2017,
8:30 AM -
10:20 AM
CC-328
Advances in Joint Modeling and Predicting Heterogeneous Outcomes — Invited Papers
ENAR , Biometrics Section , Biopharmaceutical Section
Organizer(s): Abdus Sattar, Case Western Reserve University
Chair(s): Jeffrey Albert, Case Western Reserve University
8:35 AM
Joint Nonparametric Correction Estimator for Excess Relative Risk Regression in Survival Analysis with Exposure Measurement Error
—
Ching-Yun Wang, Fred Hutchinson Cancer Research Center ; Harry Cullings, Radiation Effects Research Foundation ; Xiao Song, University of Georgia ; Kenneth J. Kopecky, Fred Hutchinson Cancer Research Center
9:00 AM
Bayesian Clinical Trial Design for Joint Models of Longitudinal and Survival Data
—
Joseph G Ibrahim, UNC ; Matthew Psioda, UNC Chapel Hill
9:25 AM
Joint Modeling of Longitudinal and Survival Data with a Covariate Subject to a Limit of Detection
—
Abdus Sattar, Case Western Reserve University ; Sanjoy K Sinha, Carleton University
9:50 AM
Discussant: Dimitris Rizopoulos, Erasmus University Medical Center
10:15 AM
Floor Discussion
309 *
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-331/332
Statistical Topics in Precision Medicine — Invited Papers
IMS , ENAR , Section on Statistical Learning and Data Science
Organizer(s): Heping Zhang, Yale University School of Public Health
Chair(s): Heping Zhang, Yale University School of Public Health
10:35 AM
New Adaptive Designs of Clinical Trial for Precision Medicine
—
Feifang Hu, George Washington University
11:00 AM
Individualized Fusion Learning (IFusion) with Applications to Personalized Inference
—
Minge Xie, Rutgers University ; Jieli Shen, Rutgers University ; Regina Liu, Rutgers University
11:25 AM
Statistical Machine Learning and Precision Medicine
—
Michael Lawson, University of North Carolina at Chapel Hill ; Michael R Kosorok, University of North Carolina at Chapel Hill
11:50 AM
Hypothesis testings on high-dimensional individualized treatment rules
—
Young-Geun Choi, Fred Hutchinson Cancer Research Center ; Yang Ning, Cornell University ; Yingqi Zhao, Fred Hutchinson Cancer Research Center
12:15 PM
Floor Discussion
311 *
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-349
Overcoming Practical Challenges in the Design and Analysis of Medical Studies Using Electronic Health Records — Invited Papers
Health Policy Statistics Section , ENAR , WNAR
Organizer(s): Rebecca Hubbard, University of Pennsylvania
Chair(s): Ruth Etzioni, Fred Hutchinson Cancer Research Center
10:35 AM
Optimal Individualized Early Warning for Inpatient Adverse Events
—
Hossein Soleimani, Johns Hopkins University ; Suchi Saria, Johns Hopkins University
10:55 AM
Harnessing Diverse Data from a Healthcare Systems Network for Early Identification of Pediatric Diabetes
—
Rebecca Hubbard, University of Pennsylvania ; Grace Choi, University of Pennsylvania ; Arman Oganisian, University of Pennsylvania ; Yong Chen, University of Pennsylvania ; Jing Huang, University of Pennsylvania
11:15 AM
Informed Presence Bias in the Analysis of Electronic Health Records
—
Benjamin Goldstein, Duke University - Department of Biostatistics & Bioinformatics ; Matthew Phelan, Duke Clinical Research Institute - Center for Predictive Medicine ; Nrupen Bhavsar, Duke University - General Internal Medicine
11:35 AM
Using Historical, Electronic Health Record Data to Bolster a Cluster Randomized Trial of Early Childhood Obesity
—
Jonathan Schildcrout, Vanderbilt University Medical Center ; Aihua Bian, Vanderbilt University Medical Center
11:55 AM
Discussant: Patrick Heagerty, University of Washington
12:15 PM
Floor Discussion
312 * !
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-338
SAMSI-CCNS: Innovations and Challenges in Computational Neuroscience — Invited Papers
International Indian Statistical Association , Biometrics Section , ENAR , Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Sujit K. Ghosh, SAMSI
Chair(s): Sujit K Ghosh, North Carolina State University
10:35 AM
Population-Based Brain Structural Connectivity Analysis
—
Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Anuj Srivastava, Florida State University ; David B. Dunson, Duke University ; Maxime Descoteaux, Université de Sherbrooke ; Zhengwu Zhang, Duke University
11:00 AM
Ultra-High-Dimensional Genome-Wide Heritability Analysis with Neuroimaging Phenotypes
—
Yize Zhao, Weill Cornell Medicine, Cornell University
11:25 AM
A New Unified ICA Framework for Decomposing Multimodal Neuroimaging Data
—
Ying Guo, Emory University ; Subhadip Pal, Emory University ; Jian Kang, University of Michigan
11:50 AM
A LAG FUNCTIONAL LINEAR MODEL for PREDICTION of MAGNETIZATION TRANSFER RATIO in MULTIPLE SCLEROSIS LESIONS
—
Gina-Maria Pomann, Duke University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Edgar Lobaton, North Carolina State University ; Amanda Mejia, Indiana University ; Blake Dewey, NINDS ; Daniel Reich, NINDS ; Elizabeth M. Sweeney, Flatiron Health ; Russell Shinohara, University of Pennsylvania
12:15 PM
Floor Discussion
315 * !
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-304
Advancements in Clinical Trial Design for Small Samples in the Age of Precision Medicine — Invited Papers
Biometrics Section , ENAR , Society for Clinical Trials
Organizer(s): Kelley M Kidwell, University of Michigan
Chair(s): Kelley M Kidwell, University of Michigan
10:35 AM
Dose-finding designs incorporating toxicity data from multiple treatment cycles, and continuous efficacy outcome
—
Sumithra Mandrekar, Mayo Clinic
11:00 AM
The Use of Small N Sequential Multiple Assignment Randomized Trials (SnSMART) in Rare Disease Research
—
Roy N Tamura, University of South Florida ; Kelley M Kidwell, University of Michigan ; Boxian Wei, University of Michigan ; Thomas Braun, University of Michigan
11:25 AM
Statistical Considerations for an Adaptive Design for a Serious Rare Disease
—
Gary R Cutter, UAB School of Public Heatlh Department of Biostatistics
11:50 AM
Discussant: Jeremy M. G. Taylor, University of Michigan
12:15 PM
Floor Discussion
320 *
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-318
The New ICH Guideline on Estimands: An Academic Perspective — Invited Panel
ENAR , WNAR , Biopharmaceutical Section
Organizer(s): Frank Bretz, Novartis AG, Estelle Russek-Cohen, U.S. Food and Drug Administration
Chair(s): Geert Molenberghs , Universiteit Hasselt
10:35 AM
The New ICH Guideline on Estimands: An Academic Perspective
Panelists:
Eric Tchetgen Tchetgen, Harvard University
Estelle Russek-Cohen, U.S. Food and Drug Administration
Scott Emerson, University of Washington
Susan Ellenberg, University of Pennsylvania
T. Shun Sato, University of Kyoto
12:10 PM
Floor Discussion
325 * !
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-312
Semiparametric Regression in Matched Case-Crossover Studies — Topic Contributed Papers
ENAR
Organizer(s): Inyoung Kim, Virginia Tech
Chair(s): Lin Zhang, Virginia Tech
10:35 AM
Flexible Semiparametric Functional Analysis in Matched Case-Crossover Studies
—
Wenyu Gao ; Inyoung Kim, Virginia Tech
10:55 AM
Omnibus Test in Matched Case-Control Studies
—
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ. Department of Statistics ; Inyoung Kim, Virginia Tech
11:15 AM
Semiparametric Bayesian Models for Unbalanced Matched Case-Crossover Approach
—
Inyoung Kim, Virginia Tech ; Feng Guo, Virginia Tech
11:35 AM
Semiparametric Approaches for Matched Case-Control Studies with Error-In-Covariates
—
Nels Johnson ; Inyoung Kim, Virginia Tech
11:55 AM
Semiparametric Time Varying Coefficient Models for Matched Case-Crossover Studies
—
Ana Maria Ortega-Villa, National Institutes of Health ; Inyoung Kim, Virginia Tech
12:15 PM
Floor Discussion
377 !
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-345
Nonparametric Saturated Methods to Handle Nonignorable Missing Data — Invited Papers
ENAR , Biometrics Section , Survey Research Methods Section , Statistics Without Borders
Organizer(s): Mauricio Sadinle, Duke University
Chair(s): Jerry Reiter, Department of Statistical Science, Duke University
2:05 PM
Combining Identifying Assumptions to Handle Nonignorable Missing Data
—
Mauricio Sadinle, Duke University ; Jerry Reiter, Department of Statistical Science, Duke University
2:25 PM
Parametric, Semiparametric and Non-Parametric Methods for Sensitivity Analysis with Incomplete Data
—
Geert Molenberghs , Universiteit Hasselt
2:45 PM
Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness
—
Antonio R Linero, Florida State University
3:05 PM
Inverse Probability Weighting Estimators for Functions of Data Missing Non-Monotonically and Not at Random
—
Ilya Shpitser, Johns Hopkins University
3:25 PM
Discussant: James Robins, Harvard University
3:45 PM
Floor Discussion
383 * !
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-317
Longitudinal/Repeated Measures and Terminal Events — Invited Papers
Lifetime Data Analysis Interest Group , ENAR , Biometrics Section
Organizer(s): Bin Nan, University of Michigan
Chair(s): Ying Ding, University of Pittsburgh
2:05 PM
Conditional Models for Longitudinal Data with a Temrinal Event
—
Bin Nan, University of Michigan ; Shengchun Kong, Gilead Sciences, Inc ; John Kalbfleisch, University of Michigan
2:30 PM
Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events
—
Kwun Chuen Gary Chan, University of Washington ; Mei-Cheng Wang, Johns Hopkins University
2:55 PM
Semiparametric Regression for Interval-Censored Data with Informative Dropout
—
Donglin Zeng, University of North Carolina ; Fei Gao, University of North Carolina ; Danyu Lin, University of North Carolina
3:20 PM
Transformation Models for Doubly-Censored and Clustered Survival Data
—
Jane-Ling Wang, University of California, Davis ; Cong Xu, Stanford University ; Yuru Su, Fred Hutchinson Cancer Research Center
3:45 PM
Floor Discussion
386 * !
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-341
Estimands: What Is Essential Is Invisible to the Eye — Invited Papers
Biopharmaceutical Section , ENAR , Biometrics Section
Organizer(s): Mouna Akacha , Novartis Pharma AG
Chair(s): Joan Buenconsejo, AstraZeneca
2:05 PM
A Dialogue on Estimands
—
Stephen J Ruberg, Eli Lilly and Co
2:25 PM
Defining estimands in pain studies
—
Paul Gallo, Novartis
2:45 PM
Application of the Tripartite Estimands in a Diabetes Clinical Trial
—
Junxiang Luo, Eli Lilly and Company ; Yongming Qu, Eli Lilly and Company ; Stephen J Ruberg, Eli Lilly and Co
3:05 PM
Causal Estimands in Randomized Trials
—
Miguel Hernan, Harvard TH Chan School of Public Health
3:25 PM
Discussant: Gregory Levin, FDA
3:45 PM
Floor Discussion
390 *
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-339
Challenges in Whole-Genome Sequence Analysis: Experiences and Approaches in the TOPMed Project — Invited Papers
WNAR , Section on Statistics in Genomics and Genetics , ENAR
Organizer(s): Yun Li, University of North Carolina
Chair(s): Adam A. Szpiro, University of Washington
2:05 PM
FastSKAT: Sequence Kernel Association Tests for Very Large Sets of Markers in Large-Scale Sequencing Data
—
Kenneth Rice, University of Washington
2:30 PM
Computationally Efficient Rare Variant Association Testing in Multi-Ethnic Cohorts with Large-Scale Sequencing Data
—
Timothy Thornton, University of Washington
2:55 PM
Transcriptome-Wide Association Study of Blood Cell Traits in TOPMed
—
Yun Li, University of North Carolina
3:20 PM
Integrating Multi-Omics Data to Identify Target Genes for Complex Traits Through a Gibbs Sampling Strategy
—
Bingshan Li, Vanderbilt University ; Quan Wang, Vanderbilt University ; Ying Ji, Vanderbilt University ; Rui Chen, Vanderbilt University ; Qiang Wei, Vanderbilt University ; Xue Zhong, Vanderbilt University ; Hai Yang, Vanderbilt University
3:45 PM
Floor Discussion
441 * !
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-317
The Key to Integrative Analysis for Precision Medicine: Statistics! — Invited Papers
Section on Statistics in Genomics and Genetics , ENAR , Section on Statistics in Epidemiology , Caucus for Women in Statistics
Organizer(s): Josee Dupuis, Boston University School of Public Health, Ching-Ti Liu, Boston University School of Public Health
Chair(s): Ching-Ti Liu, Boston University School of Public Health
8:35 AM
Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration
—
George Tseng, University of Pittsburgh ; Li Zhu, University of Pittsburgh
9:00 AM
Clustering Patients Across Multiple Data Views
—
Lucy Gao, University of Washington ; Jacob Bien, Cornell University ; Daniela Witten, University of Washington
9:25 AM
An Integrative Statistical Framework for Multi-Modal Omics Data
—
George Michailidis, University of Florida
9:50 AM
Accounting for Genetics in Biomarker-Disease Association Studies: Lessons Learned from Lung Disease
—
Katerina Kechris, University of Colorado Anschutz Medical Campus ; Wei Sun, Fred Hutchinson Cancer Research Center ; Sean Jacobson, National Jewish Health ; Wanda O'Neal, University of North Carolina at Chapel Hill ; Russell Bowler, National Jewish Health
10:15 AM
Floor Discussion
445 * !
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-309
Quantification, Association Testing, and Integration of Micriobiome — Invited Papers
WNAR , ENAR , Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Yijuan Hu, Emory University
Chair(s): Brian Williamson, University of Washington
8:35 AM
Better Measurement of the Microbiome by Modeling and Removing Amplified Sequencing Errors
—
Benjamin John Callahan, North Carolina State University
9:00 AM
Joint Modeling and Analysis of Microbiome with Other Omics Data
—
Michael C. Wu, Fred Hutchinson Cancer Research Center
9:25 AM
Tackling the Excessive Zeros and Phylogenetic Constraint for Microbiome Data
—
Jun Chen, Mayo Clinic
9:50 AM
Human Microbiome-Based Association Test and a Microbial Taxa Discovery Framework
—
Huilin Li, New York University
10:15 AM
Floor Discussion
451 * !
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-303
Current Trends in Statistical Genomics: Finding Needle in a Haystack? — Topic Contributed Papers
ENAR , Biopharmaceutical Section , International Indian Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Somnath Datta, University of Florida
Chair(s): Hyoyoung Choo-Wosoba, NCI, NIH
8:35 AM
Marginal False Discovery Rates for Penalized Regression Models
—
Patrick Breheny, University of Iowa
8:55 AM
Advances and Challenges of Single Cell RNA-Seq Data Analysis
—
Susmita Datta, University of Florida
9:15 AM
Statistical Challenges in Analysis of Complex Phenotypes Derived from Sequential Images
—
Dan Nettleton, Iowa State University ; Patrick Schnable, Iowa State University ; Yehua Li, Iowa State University ; Li Wang, Iowa State University ; Baskar Ganapathysubramanian, Iowa State University
9:35 AM
ANOVA-Based Clustering to Improve Potency Estimation in Quantitative High-Throughput Screening Data
—
Shyamal Peddada, NIH/NIEHS ; Keith Shockley, NIEHS ; Abhishek Kaul, NIEHS ; Shuva Gupta, UC Davis ; Shawn Harris, SSS ; Soumendra N Lahiri, North Carolina State University
9:55 AM
Association Analysis Using Sequence Reads Without Calling Genotypes
—
Yijuan Hu, Emory University ; Peizhou Liao, Department of Biostatistics and Bioinformatics, Emory ; Henry Johnston, Department of Biostatistics and Bioinformatics, Emory ; Andrew Allen, Department of Biostatistics and Bioinformatics, Duke ; Glen Satten, Centers for Disease Control and Prevention
10:15 AM
Floor Discussion
468
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-304
Recurrent Event Data and Survival Analysis — Contributed Papers
ENAR
Chair(s): Zhenya Cherkas, Janssen R&D
8:35 AM
A General Class of Additive Models for Recurrent Event Data
—
Russell Stocker, Indiana University of Pennsylvania
8:50 AM
Quantifying and Estimating the Predictive Accuracy for Censored Time-to-Event Data with Competing Risks
—
Cai Wu, University of Texas MD Anderson Cancer Center ; Liang Li, University of Texas MD Anderson Cancer Center
9:05 AM
Transition Models with Informative Cluster Size and Informative
—
Joseph Bible, NICHD ; Danping Liu, National Institutes of Health ; Paul S. Albert, National Cancer Institute/NIH
9:20 AM
Semiparametric Temporal Process Regression for Prevalence Modeling of Data Subject to Dependent Censoring
—
Tianyu Zhan, Biostatistics, University of Michigan ; Douglas Earl Schaubel, University of Michigan
9:35 AM
Constructing Cohorts That Mimic the Survival Experience in Published Survival Analyses
—
Abhijit Das Gupta, ARAASTAT
9:50 AM
Semiparametric Regression Modeling and Transition-Probability Prediction with Correlated Interval Censored Life-History Data
—
Daewoo Pak, Michigan State University ; Chenxi Li, Michigan State University ; David Todem, Michigan State University
479 * !
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-338
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistics in Imaging , ENAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
10:35 AM
JIVE Integration of Behavioral and fMRI Data
—
J. S. (Steve) Marron, University of North Carolina ; Benjamin Risk, SAMSI, Department of Biostatistics and Bioinformatics, Emory University ; Qunqun Yu, UNC - Statistics & OR
11:00 AM
Exploratory and Data Visualization Methods for High-Dimensional Brain Signals
—
Hernando Ombao, KAUST and UC Irvine ; Yuxiao Wang, University of California, Irvine ; Chee-Ming Ting, KAUST
11:25 AM
Am I My Connectome? Fingerprinting with Repeated Resting State Functional MRI Data
—
Brian Scott Caffo, Johns Hopkins ; Zeyi Wang, Johns Hopkins ; Ciprian M Crainiceanu, Johns Hopkins University ; Martin Lindquist, Johns Hopkins University ; Jim Pekar, Johns Hopkins ; Joshua Vogelstein, Johns Hopkins ; Haris Sair, Johns Hopkins
11:50 AM
Statistical Analysis of Registration and Registered Imaging Data
—
John AD Aston, University of Cambridge ; Eardi Lila, University of Cambridge
12:15 PM
Floor Discussion
484 * !
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-316
Recent Statistical Advances in Biomarker Studies in the Era of Precision Medicine — Invited Papers
ENAR , Biometrics Section , WNAR , Section on Statistics in Genomics and Genetics
Organizer(s): Eunhee Kim, National Institute of Neurological Disorders and Stroke, NIH
Chair(s): Eunhee Kim, National Institute of Neurological Disorders and Stroke, NIH
10:35 AM
Mendelian randomization for survival outcomes using semiparametric transformation models
—
Yen-Tsung Huang, Academia Sinica
10:55 AM
New Machine Learning Tools for Discovering and Utilizing Biomarkers in Precision Medicine
—
Daniel Luckett, University of North Carolina at Chapel Hill ; Eric Laber, North Carolina State University ; Michael R Kosorok, University of North Carolina at Chapel Hill
11:15 AM
Estimation of ROC Curve with Multiple Types of Missing Gold Standard
—
Danping Liu, National Institutes of Health ; Xiao-Hua Zhou, University of Washington
11:35 AM
Comparison of Approaches for Incorporating New Information into Existing Risk Prediction Models
—
Ruth Pfeiffer , National Cancer Institute, NIH, HHS ; Sonja Grill, Technical University of Munich ; Donna Ankerst , Technical University of Munich ; Mitchell Gail , National Cancer Institute, NIH, HHS ; Nilanjan Chatterjee, Johns Hopkins University
11:55 AM
Evaluation of Subgroup-Specific Incremental Value of New Markers for Treatment Selection
—
Ying Huang, Fred Hutchinson Cancer Research Center
12:15 PM
Floor Discussion
549 * !
Wed, 8/2/2017,
2:00 PM -
3:50 PM
CC-309
Recent Development of Statistical Learning Methods for Complex Biomedical Data — Invited Papers
ENAR , Biometrics Section , Section on Statistical Learning and Data Science , Section on Statistics in Imaging
Organizer(s): Wenbin Lu, North Carolina State University
Chair(s): Wenbin Lu, North Carolina State University
2:05 PM
Maximum likelihood inference for a large precision matrix
—
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota ; Wei Pan, University of Minnesota
2:30 PM
Statistical Modeling of Large-Scale Neural Ensembles
—
Shizhe Chen, Columbia University ; Ali Shojaie, University of Washington ; Eric Shea-Brown, University of Washington ; Daniela Witten, University of Washington
2:55 PM
Optimal Individualized Treatment Strategy with Imaging Covariates
—
Rui Song, NC State University
3:20 PM
Efficient Use of EHR for Comparative Effectiveness Research
—
Tianxi Cai, Harvard University
3:45 PM
Floor Discussion
566 * !
Wed, 8/2/2017,
2:00 PM -
3:50 PM
CC-339
Recent Advances in Quality Statistics and Process Validation of Pharmaceuticals — Topic Contributed Papers
Section on Risk Analysis , Biopharmaceutical Section , Quality and Productivity Section , ENAR
Organizer(s): Stan Altan, Janssen R&D, LLC
Chair(s): Jyh-Ming Shoung, Janssen R&D, LLC
2:05 PM
Continued Process Verification - a Systems Approach Including Tips and Traps
—
Ronald D Snee, Snee Associates, LLC
2:25 PM
Recent Advances in Quality Statistics and Process Validation of Pharmaceuticals
—
Lynne Hare, Statistical Strategies, LLC
2:45 PM
Process Validation: Statistical Methods for Evaluating Uniformity of Dosage Units
—
James Bergum ; Thomas Stepinac, Novartis
3:05 PM
Improved Acceptance Limits for ASTM Standard E2810
—
Richard Lewis, GlaxoSmithKline ; Ailin Fan, North Carolina State University
3:25 PM
Discussant: Stan Altan, Janssen R&D, LLC
3:45 PM
Floor Discussion
594 * !
Thu, 8/3/2017,
8:30 AM -
10:20 AM
CC-336
Spatial Risk Assessment with Environmental Applications — Invited Papers
Section on Statistics and the Environment , ENAR , International Statistical Institute
Organizer(s): Ying Sun, King Abdullah University of Science and Technology
Chair(s): Ying Sun, King Abdullah University of Science and Technology
8:35 AM
Heteroscedastic Asymmetric Spatial Processes (HASP)
—
Peter F Craigmile, The Ohio State University ; Jiangyong Yin, Google Inc.
9:00 AM
Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
—
Sudipto Banerjee, UCLA Fielding School of Public Health
9:25 AM
A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
—
Ana Rappold, US EPA ; Brian Reich, NCSU ; Alexandra Larsen, North Carolina State University
9:50 AM
Copula-Based Semiparametric Models for Spatial-Temporal Data
—
Huixia Judy Wang, The George Washington University ; Yanlin Tang, George Washington University ; Ying Sun, King Abdullah University of Science and Technology
10:15 AM
Floor Discussion
595 * !
Thu, 8/3/2017,
8:30 AM -
10:20 AM
CC-348
Dynamic Methods for Functional Data with Application to Clinical Data Analysis — Invited Papers
ENAR , Biometrics Section , Section on Nonparametric Statistics
Organizer(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
Chair(s): Ciprian M Crainiceanu, Johns Hopkins University
8:35 AM
Dynamic Prediction Intervals for Functional Data
—
Nicholas Rios, Montclair State University ; Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
8:55 AM
Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model
—
Sheng Luo, The University of Texas Health Science Center at Houston ; Kan Li, The University of Texas Health Science Center at Houston
9:15 AM
Identification of Outliers in Dynamic Functional Regression for Child Growth Studies
—
Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences ; Ciprian M Crainiceanu, Johns Hopkins University ; William Checkley, Johns Hopkins University
9:35 AM
Dynamic Prediction with Joint Models and Landmarking
—
Jonathan Gellar, Mathematica Policy Research
9:55 AM
A Joint Optimal Design for Functional Data with Application to Scheduling Ultrasound Scans
—
Luo Xiao, North Carolina State University
10:15 AM
Floor Discussion
605 *
Thu, 8/3/2017,
8:30 AM -
10:20 AM
CC-339
Recent Statistical Advance in Functional Genomics — Topic Contributed Papers
ENAR , International Chinese Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Qunhua Li, Penn State University
Chair(s): Trish Goedecke, University of Tennessee Health Science Center
8:35 AM
Assessing Reproducibility of Hi-C Chromatin Loops Using Irreproducible Discovery Rate Regression
—
Qunhua Li ; Feipeng Zhang, Penn State University ; Tao Yang, Penn State University
8:55 AM
Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis
—
Haiyan Huang, Univ of California at Berkeley
9:15 AM
Functional Impact of Epigenomic Variation Between Individuals
—
Kasper Hansen, Johns Hopkins Biostatistics
9:35 AM
Matched Bipartite Community Detection with Node Covariates
—
Jingyi Li, UCLA ; Zahra S. Razaee, UCLA ; Arash A. Amini, UCLA
9:55 AM
Statistical Methods for Interrogating Promoter-Enhancer Interactions Originating from Repetitive Regions Using Hi-C Data
—
Sunduz Keles, University of Wisconsin-Madison ; Ye Zheng, University of Wisconsin
10:15 AM
Floor Discussion
634 * !
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-340
Dynamic Modeling for Timely Health Care Decisions — Invited Papers
WNAR , ENAR , Committee on Applied Statisticians
Organizer(s): Tanya Garcia, Texas A&M University, Samuel Mueller, University of Sydney
Chair(s): Jiawei Bai, Johns Hopkins University
10:35 AM
Dynamic Predictions Based on Joint Models
—
Jeremy M. G. Taylor, University of Michigan ; Krithika Suresh, University of Michigan ; Alex Tsodikov, University of Michigan
11:00 AM
Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
—
Tanya Garcia, Texas A&M University ; Layla Parast, RAND Corporation
11:25 AM
Robust Estimators for the Evaluation of Multiple Surrogate Markers with Censored Data
—
Layla Parast, RAND Corporation ; Tianxi Cai, Harvard University ; Lu Tian, Stanford University
11:50 AM
Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
—
Samuel Mueller, University of Sydney ; Alan H Welsh, The Australian National University ; Francis KC Hui, The Australian National University
12:15 PM
Floor Discussion
640
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-328
The State-of-the-Art in Modeling and Testing of High-Dimensional Brain Images and Networks — Invited Papers
Section on Statistics in Imaging , ENAR , Section on Nonparametric Statistics
Organizer(s): Russell Shinohara, University of Pennsylvania
Chair(s): Russell Shinohara, University of Pennsylvania
10:35 AM
Network-based inference for neuroimaging data
—
Liza Levina, University of Michigan
10:55 AM
Screening Strategies for Reconstructing Brain Connectivity Networks with Multivariate Hawkes Process
—
Ali Shojaie, University of Washington ; Shizhe Chen, Columbia University ; Daniela Witten, University of Washington
11:15 AM
Powerful, Fast, and Robust Family-Wise Error Control for Neuroimaging
—
Simon Vandekar, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Adon Rosen, University of Pennsylvania ; Rastko Ciric, University of Pennsylvania ; David Roalf, 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
11:35 AM
Hypothesis Testing of Matrix Graph Model and Application in Brain Connectivity Analysis
—
Lexin Li, University of California at Berkeley ; Yin Xia, Fudan University
11:55 AM
Two Overlooked Statistical Issues in the Study of Neurodevelopmental Trajectories
—
Philip Reiss, University of Haifa
12:15 PM
Floor Discussion
641 * !
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-309
Foundations of Network Analysis — Invited Papers
IMS , Royal Statistical Society , ENAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Chao Gao, University of Chicago
10:35 AM
Network Sparsity and Subsequent Inference
—
Joshua Cape, Johns Hopkins University ; Minh Tang, Johns Hopkins University ; Carey E Priebe, Johns Hopkins University
11:05 AM
Challenges in Network Sampling: Open Problems and Some Progress
—
Eric Kolaczyk, Boston University
11:35 AM
Accounting for the Sampling Scheme in Network Modeling
—
Harry Crane, Rutgers University ; Walter Dempsey, University of Michigan
12:05 PM
Floor Discussion
642 * !
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-349
Data-Driven Modeling in Medical and Health Policy Decision Making — Invited Papers
Section on Statistics in Epidemiology , Health Policy Statistics Section , Biometrics Section , ENAR , Section on Medical Devices and Diagnostics
Organizer(s): Chenyang Gu, Harvard Medical School, Liangyuan Hu, Icahn School of Medicine at Mount Sinai
Chair(s): Chenyang Gu, Harvard Medical School
10:35 AM
Leveraging Flexible Modeling Techniques in Data-driven Analytics
—
Liangyuan Hu, Icahn School of Medicine at Mount Sinai ; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
11:00 AM
Analytic Approaches to Decision Support at the Policy and Patient Level: a Case Study in HIV Treatment Monitoring in Kenya
—
Tao Liu, Brown University, Dept of Biostatistics ; Joseph Hogan, Brown University, Dept of Biostatistics ; Rami Kantor , Brown Univeresity School of Medicine
11:25 AM
Multi-Arm Bayesian Designs for Clinical Trials
—
Lorenzo Trippa, Dana-Farber Cancer Institute, Harvard
11:50 AM
Optimizing Patient Selection for Chemoprevention Through Predictive Modeling
—
Xi Kathy K Zhou, Weill Cornell Medical College
12:15 PM
Floor Discussion
645 *
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-329
Causal Mediation Analysis in Advanced Settings: Longitudinal, High-Dimensional, Censored Mediations — Topic Contributed Papers
Mental Health Statistics Section , Biometrics Section , Section on Statistics in Epidemiology , ENAR
Organizer(s): Chanmin Kim, Harvard University
Chair(s): Jason A Roy, University of Pennsylvania
10:35 AM
Explaining the Total Effect in the Presence of Multiple Mediators and Interactions
—
Linda Valeri, Harvard University ; Andrea Bellavia, Harvard T.H. Chan School of Public Health
10:55 AM
Causal Mediation Analysis for a Proportional Hazards Model with Interval-Censored Failure Time Data
—
Wei Wang, Division of Biostatistics, CDRH, FDA
11:15 AM
Continuous Time Causal Mediation Analysis for Longitudinal Data
—
Jeffrey Albert, Case Western Reserve University
11:35 AM
Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
—
Leah Comment, Harvard University School of Public Health ; Linda Valeri, Harvard University ; Brent Coull, Harvard T.H. Chan School of Public Health
11:55 AM
Floor Discussion
661
Thu, 8/3/2017,
10:30 AM -
12:20 PM
CC-348
Statistical Approaches to High-Dimensional Modeling and Real-World Problems — Contributed Papers
ENAR , Section on Statistics in Genomics and Genetics
Chair(s): Wei Chen, University of Pittsburgh
10:35 AM
A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
—
Yiyi Liu, Yale University ; Hongyu Zhao, Yale University
10:50 AM
Models for Dependent Data in Single Cell Gene Expression
—
Andrew McDavid, University of Rochester Medical Center - Rochester, NY
11:05 AM
FDR Control of the High-Dimensional TOST Tests
—
Jing Qiu, University Of Delaware ; Yue Qi, SAS
11:20 AM
Bayesian Lasso for GWAS
—
LiJin Joo, New York University ; Cheongeun Oh, New York University
11:35 AM
Non-parametric Association Testing of fMRI Functional Connectivity and Genetic Similarity
—
Dustin Pluta, University of California, Irvine ; Hernando Ombao, KAUST and UC Irvine ; Zhaoxia Yu, University of California, Irvine ; Tong Shen, University of California, Irvine
11:50 AM
Sensor Fusion Approach for Detecting Landmines
—
Andrew Cho, Duke University ; Colin Rundel, Duke University Statistical Science