Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
Activity Details
3 * !
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W190a
Integrative Genomics Analytics for Personalized Medicine — Invited Papers
WNAR , ENAR
Organizer(s): Yen-Tsung Huang, Brown University, Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:30 PM
Integrative Sparse K-Means for Disease Subtype Discovery
—
George Tseng, University of Pittsburgh ; Zhiguang Huo, University of Pittsburgh
2:55 PM
A Penalized Multivariate Linear Mixed Effects Model for Integrative Proteo-Genomics Analysis Based on ITRAQ Data
—
Weiping Ma, Icahn School of Medicine at Mount Sinai ; Lin Chen, The University of Chicago ; Sung Won Han, New York University ; Hua Zhong, New York University ; Pei Wang, Icahn School of Medicine at Mount Sinai
3:20 PM
Survival Mediation Analysis Using Semiparametric Probit Models with Application to Integrative Genomics
—
Yen-Tsung Huang, Brown University ; Tianxi Cai, Harvard
3:45 PM
Floor Discussion
10
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W196b
Statistical Methods in Integrative Genomics — Invited Papers
ENAR , Section on Statistics in Imaging
Organizer(s): Heping Zhang, Yale School of Public Health
Chair(s): Yuan Jiang, Oregon State University
2:05 PM
Assessing Genomic Risk for Learning Problems with Neuroimaging Data
—
Heping Zhang, Yale School of Public Health ; Chintan Mehta, Yale University
2:30 PM
Network-Based Analysis of Multidimensional Cancer Omics Data
—
Shuangge Ma, Yale University
2:55 PM
Statistical Methods in Integrative Genomics
—
Lan Liu, Harvard ; Wang Miao, Peking University ; Baoluo Sun, Harvard ; James Robins, Harvard ; Eric Tchetgen Tchetgen, Harvard
3:20 PM
Instrumental Variable Regression Models Using Multiple Genetic Markers
—
Rui Feng, University of Pennsylvania Perelman School of Medicine ; Fan Wang, Cleveland Clinic
3:45 PM
Floor Discussion
17 * !
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W194b
Missing Data in Neuroscience Clinical Trials: Truth or Consequences — Topic Contributed Papers
Mental Health Statistics Section , ENAR , Biopharmaceutical Section , Committee on Applied Statisticians
Organizer(s): Pilar Lim, Janssen R&D
Chair(s): Hsien-Ming James Hung, FDA
2:05 PM
Choosing Estimands in Clinical Trials with Missing Data
—
Craig Mallinckrodt, Eli Lilly and Company
2:25 PM
Reference-Based Imputation Versus Dropout = Failure Imputation for Tackling Missing Data
—
Devan V. Mehrotra, Merck ; Fang Liu, Merck
2:45 PM
Role of Simulations in the Selection of the Primary Estimand and Statistical Methods for Handling Missing Data
—
Elena Polverejan, Janssen R&D
3:05 PM
Discussant: Scott Emerson, University of Washington
3:25 PM
Floor Discussion
30
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W195
Recent Developments in Biostatistical Research — Contributed Papers
ENAR , Biopharmaceutical Section
Chair(s): Zheng Ke, The University of Chicago
2:05 PM
A Hierarchical Approach to Multivariate Models for Global Climate Ensembles
—
Matthew Edwards, Newcastle University ; Stefano Castruccio, Newcastle University ; Dorit Hammerling, National Center for Atmospheric Research
2:20 PM
A Spatiotemporal Hierarchical Bayesian Model for Understanding Vectors and Vector-Borne Disease
—
Erica Billig, University of Pennsylvania ; Jason Roy, University of Pennsylvania ; Michael Levy, University of Pennsylvania ; Michelle Ross , University of Pennsylvania
2:35 PM
Surrogate-Guided Sampling Designs for Biomedical Natural Language Processing with Rare Outcomes
—
Wei Ling (Katherine) Katherine Tan, University of Washington ; Patrick Heagerty, University of Washington
2:50 PM
Accounting for Potential Measurement Errors in Environmental Preterm Studies
—
Yinjun Zhao, Yale University ; Shuangge Ma, Yale University
3:05 PM
Development of a Stochastic Model Using Setting the Clock Back to Zero (SCBZ) for Expected Time to Seroconversion Under Correlated Inter-Contact Times
—
Kannan R, Annamalai University ; Balasubramani G.K., University of Pittsburgh
3:20 PM
Functional Multiple Indicators, Multiple Causes Measurement Error Models
—
Carmen Tekwe, Texas A&M University ; Roger Zoh, Texas A&M University ; Raymond Carroll, Texas A&M University ; Guoyao Wu, Texas A&M University ; Fuller Bazer, Texas A&M University
3:35 PM
Floor Discussion
45
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W190a
Introductory Overview Lecture: Spatio-Temporal Data Analysis — Invited Special Presentation
ASA , ENAR , WNAR , IMS , SSC , International Chinese Statistical Association , International Indian Statistical Association , Korean International Statistical Society , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society , International Statistical Institute
Organizer(s): Christopher Wikle, University of Missouri
Chair(s): Mevin Hooten, Colorado State University
4:05 PM
An Introduction to Spatio-Temporal Statistics: There Is No History Without Geography (and Vice Versa!)
—
Christopher Wikle, University of Missouri
5:45 PM
Floor Discussion
52 * !
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W196c
Recent Advances in Spatial and Spatio-Temporal Functional Data Analysis — Invited Papers
ENAR , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Ying Sun, King Abdullah University of Science and Technology
Chair(s): Ying Sun, King Abdullah University of Science and Technology
4:05 PM
Bayesian Modeling and Inference for High-Dimensional Spatiotemporal Data Sets
—
Sudipto Banerjee, University of California at Los Angeles
4:30 PM
Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
—
Peter X. K. Song, University of Michigan ; Jian Kang, University of Michigan
4:55 PM
A Multiresolution Model for Activation and Connectivity in fMRI Data with Functional Estimation of the Haemodynamic Response
—
Stefano Castruccio, Newcastle University ; Hernando Ombao, University of California at Irvine ; Thomas Theussl, King Abdullah University of Science and Technology ; Marc Genton, KAUST
5:20 PM
Discussant: Doug Nychka, National Center for Atmospheric Research
5:40 PM
Floor Discussion
81
Sun, 7/31/2016,
4:00 PM -
5:50 PM
CC-W195
Clustering Methods — Contributed Papers
ENAR
Chair(s): Xuelin Huang, MD Anderson Cancer Center
4:20 PM
Characterizing and Clustering an Adult Cystic Fibrosis Patient Population
—
Barbara Ann Bailey, San Diego State University
4:35 PM
AC-PCA: Simultaneous Dimension Reduction and Adjustment for Confounding Variation
—
Zhixiang Lin, Stanford University ; Can Yang, Hong Kong Baptist University ; Hongyu Zhao, Yale University ; Wing Hung Wong, Stanford University
4:50 PM
Overlapping Community Detection in Networks via Sparse Principal Component Analysis
—
Jesus Daniel Arroyo Relion, University of Michigan ; Elizaveta Levina, University of Michigan
5:05 PM
An Entropy-Based Model Selection Criterion for Latent Class Analysis of Incomplete Data
—
Chantal Larose, SUNY New Paltz ; Ofer Harel, University of Connecticut ; Katarzyna Kordas, University of Bristol ; Dipak Dey, University of Connecticut
5:20 PM
Clustered Random Data-Swapping Method for Statistical Disclosure Limitation
—
Guangyu Zhang, CDC/NCHS ; Joe Fred Gonzalez, CDC/NCHS ; Anna Oganian, CDC/NCHS
5:35 PM
Floor Discussion
88
Sun, 7/31/2016,
6:00 PM -
8:00 PM
CC-Hall F1 West
The Extraordinary Power of Data — Invited Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistical Graphics , Section on Statistics in Imaging , Business and Economic Statistics Section , Biometrics Section , ENAR , Section for Statistical Programmers and Analysts , Scientific and Public Affairs Advisory Committee , Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Section on Statistics in Marketing , Social Statistics Section , Statistics in Business Schools Interest Group
Chair(s): Tyler McCormick, University of Washington
1:
Communicate Better with R, R Markdown, and Shiny
—
Garrett Grolemund, RStudio
2:
Spectral Filtering for Spatial-Temporal Dynamics
—
Tian Zheng, Columbia University ; Lu Meng, Columbia University
3:
A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data
—
Mohsen Bahrami, Virginia Tech ; Paul Laurienti, Wake Forest School of Medicine ; Thomas Arcury, Wake Forest School of Medicine ; Sean Simpson, Wake Forest School of Medicine
4:
Cascaded High-Dimensional Histograms: A Generative Approach to Density Estimation
—
Siong Thye Goh, MIT ; Cynthia Rudin, Duke University
5:
TV Advertising's Impact on Online Searches
—
Yonathan Schwarzkopf, Google ; Ying Liu, Google ; Makoto Uchida, Google ; Elissa Lee, Google ; Jim Koehler, Google
6:
Modeling Connectivity in High-Dimensional Time Series Data via Factor Analysis
—
Hernando Ombao, University of California at Irvine ; Yuxiao Wang, University of California at Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia
7:
Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis
—
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania ; John Muschelli, The Johns Hopkins University ; Daniel Reich , National Institute of Neurological Disorders and Stroke ; Ciprian Crainiceanu, The Johns Hopkins University ; Jonathan Gellar, Mathematica Policy Research ; Philip Reiss, New York University/University of Haifa ; Ani Eloyan, Brown University
8:
Law, Order, and Algorithms
—
Sharad Goel, Stanford University
9:
Defining and Estimating Reliability in Hierarchical Logistic Regression Models for Health Care Provider Profiling
—
Jessica Hwang, RAND Corporation ; John Adams, Kaiser Permanente ; Susan M. Paddock, RAND Corporation
10:
Probabilistic Cause-of-Death Assignment Using Verbal Autopsies
—
Tyler McCormick, University of Washington ; Sam Clark, University of Washington ; Zehang Li, University of Washington
11:
We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data
—
David G. Robinson, Stack Overflow
12:
Data Science at Stitch Fix
—
Hilary Parker, Stitch Fix
13:
Text Mining on Domain Names
—
Kenneth E. Shirley, Amazon
14:
Fighting Fraud with Statistics!
—
Alyssa Frazee, Stripe
15:
Forecasting Seasonal Epidemics with Ensemble Methods and Collective Human Judgment
—
Logan Conrad Brooks, Carnegie Mellon University ; Sangwon Hyun, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
16:
Geometric Methods for Network Comparison and Multilevel Modeling
—
Anna Smith, The Ohio State University ; Catherine Calder, The Ohio State University
17:
Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
—
Manjari Narayan, Rice University ; Genevera Allen, Rice University
18:
Estimating the Causal Impact of Recommendation Systems from Observational Data
—
Amit Sharma, Microsoft Research ; Jake Hofman, Microsoft Research ; Duncan Watts, Microsoft Research
19:
The Future of the Journal Biostatistics
—
Dimitris Rizopoulos, Erasmus University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
20:
Sample Size Calculations for Micro-Randomized Trials in MHealth
—
Peng Liao, University of Michigan ; Ji Sun, University of Michigan ; Susan A. Murphy, University of Michigan
96
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W375b
Introductory Overview Lecture: Causal Inference — Invited Special Presentation
ASA , ENAR , WNAR , IMS , SSC , International Chinese Statistical Association , International Indian Statistical Association , Korean International Statistical Society , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society , International Statistical Institute , Conference on Statistical Practice Steering Committee
Organizer(s): Judea Pearl, University of California at Los Angeles
Chair(s): Wei (Peter) Yang, University of Pennsylvania
8:35 AM
Causal Inference in Statistics: A Gentle Introduction
—
Judea Pearl, University of California at Los Angeles ; Elias Bareinboim, Purdue University
10:05 AM
Floor Discussion
103 * !
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W183c
Cancer Genomics: Intratumor Heterogeneity and Beyond — Invited Papers
ENAR
Organizer(s): Wei Sun, The University of North Carolina at Chapel Hill
Chair(s): Ran Tao, The University of North Carolina at Chapel Hill
8:35 AM
Integrating Diverse Genomics Data Sets to Improve Precision Medicine in Cancer Treatment
—
Hongyu Zhao, Yale University
8:55 AM
PairClone: A Bayesian Subclone Caller Based on Mutation Pairs
—
Tianjian Zhou, The University of Texas at Austin ; Subhajit Sengupta, NorthShore University HealthSystem ; Peter Mueller, The University of Texas at Austin ; Yuan Ji, NorthShore University HealthSystem
9:15 AM
Intratumor Heterogeneity Analysis Using High-Throughput DNA Sequencing Data
—
Ronglai Shen, Memorial Sloan Kettering Cancer Center ; Venkatraman Seshan, Memorial Sloan Kettering Cancer Center
9:35 AM
Estimating Tumor Purity/Ploidy and Subclone Structure Using Multiple Types of Omic Data
—
Chong Jin, The University of North Carolina at Chapel Hill ; Wei Sun, Fred Hutchinson Cancer Research Center ; Mengjie Chen, The University of North Carolina at Chapel Hill ; Danyu Lin, The University of North Carolina at Chapel Hill
10:15 AM
Floor Discussion
116 !
Mon, 8/1/2016,
8:30 AM -
10:20 AM
CC-W183a
What's Wrong with P-Value? — Topic Contributed Papers
ENAR , IMS , Biopharmaceutical Section , Section on Teaching of Statistics in the Health Sciences , Royal Statistical Society , Scientific and Public Affairs Advisory Committee , Conference on Statistical Practice Steering Committee , Statistics Without Borders
Organizer(s): Eugene Demidenko, Dartmouth College
Chair(s): James O'Malley, Geisel School of Medicine at Dartmouth
8:35 AM
On the Reproducibility of Psychology Experiments
—
Valen E. Johnson, Texas A&M University
8:55 AM
Problems with P-Value Reform: Who Can We Blame?
—
Regina Nuzzo, Gallaudet University
9:15 AM
P-Value Overdose in Medical Research: Problems and Solutions
—
J. Jack Lee, MD Anderson Cancer Center
9:35 AM
The Death of the P-Value: What's the Chance?
—
Philip Sedgwick, University of London
9:55 AM
P, Sorry, D-Value
—
Eugene Demidenko, Dartmouth College
10:15 AM
Floor Discussion
143 !
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W186c
Challenges and Advancement in Biomarker Evaluation for Precision Medicine — Invited Papers
ENAR
Organizer(s): Zheyu Wang, The Johns Hopkins University
Chair(s): Jing Zhang, University of Maryland
10:35 AM
List-Based Interpretable Dynamic Treatment Regimes
—
Yichi Zhang, North Carolina State University ; Eric Laber, North Carolina State University ; Anastasios Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
11:00 AM
Machine-Learning Tools for Finding Biomarkers in Precision Medicine
—
Jonathan Hibbard, The University of North Carolina at Chapel Hill ; Michael R. Kosorok, The University of North Carolina at Chapel Hill
11:25 AM
Efficient Design and Analysis to Evaluate the Incremental Values of Novel Prognostic Markers
—
Yingye Zheng, Fred Hutchinson Cancer Research Center ; Tianxi Cai, Harvard
11:50 AM
Discussant: Xiao-Hua Andrew Zhou, University of Washington
12:10 PM
Floor Discussion
156 !
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W178a
Shedding Lights on the Hidden Structure Using Mixture Models: New Methods with Applications — Topic Contributed Papers
Section on Nonparametric Statistics , ENAR , International Chinese Statistical Association
Organizer(s): Zheyu Wang, The Johns Hopkins University
Chair(s): Charles Doss, University of Minnesota
10:35 AM
Empirical Bayesball Remixed: Empirical Bayes Methods for Longitudinal Data
—
Roger Koenker, University of Illinois
10:55 AM
Stochastic EM-like Algorithms for Fitting Finite Mixture of Lifetime Regression Models Under Right Censoring
—
Laurent Bordes ; Didier Chauveau, University of Orleans
11:15 AM
Nonparametric Identifiability of Finite Mixture Model and It's Application in Alzheimer's Disease
—
Zheyu Wang, The Johns Hopkins University ; Xiao-Hua Andrew Zhou, University of Washington
11:35 AM
Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities
—
Didier Chauveau, University of Orleans ; Vy Thuy Lynh Hoang, University of Orleans
11:55 AM
Clustering via Finite Nonparametric ICA Mixture Models
—
David Hunter, Penn State University ; Xiaotian Zhu, AbbVie
12:15 PM
Floor Discussion
158 * !
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W184d
Advanced Methodology for Genetic Data Analysis — Topic Contributed Papers
ENAR , Biopharmaceutical Section , International Chinese Statistical Association
Organizer(s): Anne Buu, University of Michigan
Chair(s): Anne Buu, University of Michigan
10:35 AM
A Unified Framework for Variance Component Estimation with Summary Statistics in Genetic Association Studies
—
Xiang Zhou, University of Michigan
10:55 AM
Integrative Genetical Genomics Analysis Incorporating Network Structures
—
Yuehua Cui, Michigan State University ; Bin Gao, Michigan State University ; Xu Liu, Michigan State University
11:35 AM
Bayesian Variable Selection: An Alternative Route to Hierarchical Gene-Environment Interactions
—
Cen Wu, Kansas State University ; Yu Jiang, University of Memphis ; Jinfeng Wei, Maryville University ; Shuangge Ma, Yale University
11:55 AM
An Efficient Genome-Wide Association Test for Mixed Binary and Continuous Phenotypes with Applications to Substance Abuse Research
—
James Yang
12:15 PM
Floor Discussion
217
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W375b
Late-Breaking Session I: Invest in What Works: First Steps Toward Establishing Evidence-Based Policymaking Clearinghouse — Invited Special Presentation
ASA , ENAR , WNAR , IMS , SSC , International Chinese Statistical Association , International Indian Statistical Association , Korean International Statistical Society , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society , International Statistical Institute
Organizer(s): Sallie Keller, Virginia Tech, Amy O'Hara, U.S. Census Bureau
Chair(s): Stephanie Shipp, Virginia Tech
2:05 PM
The Evidence-Based Policy Commission Act and Its Implications for the Federal Statistical System
—
Shelly Wilkie Martinez, Office of Management and Budget
2:30 PM
The Role of the Census Bureau Linkage Infrastructure
—
Amy O'Hara, U.S. Census Bureau
2:55 PM
Pilot Evaluations Using the Census Bureau Linkage Infrastructure
—
Kathy Stack, Laura and John Arnold Foundation
3:20 PM
Involving the Community to Establish an Evidence-Based Clearinghouse
—
Jeri Metzger Mulrow, Bureau of Justice Statistics
3:45 PM
Floor Discussion
226 * !
Mon, 8/1/2016,
2:00 PM -
3:50 PM
CC-W196b
Dynamic Prediction in Clinical Survival Analysis — Invited Papers
ENAR
Organizer(s): Xuelin Huang, MD Anderson Cancer Center
Chair(s): Ruosha Li, The University of Texas Health Science Center at Houston
2:05 PM
Personalized Screening Intervals for Biomarkers Using Joint Models for Longitudinal and Survival Data
—
Dimitris Rizopoulos, Erasmus University Medical Center
2:30 PM
Functional Data Analysis Approach for Using Longitudinal Biomarker to Predict Disease Progression
—
Xuelin Huang, MD Anderson Cancer Center ; Fangrong Yan, China Pharmaceutical University/MD Anderson Cancer Center ; Xiao Lin, China Pharmaceutical University
2:55 PM
Dynamic Prediction by Landmarking in Clinical Survival Analysis
—
Hans C. van Houwelingen, Leiden University Medical Center
3:20 PM
Characterizing the Prognostic Potential of Dynamic Markers: Connections to Information Theory
—
Patrick Heagerty, University of Washington ; Jason Chao-Kang Liang, Fred Hutchinson Cancer Research Center
3:45 PM
Floor Discussion
280
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W375b
Introductory Overview Lecture: Data Science — Invited Special Presentation
ASA , ENAR , WNAR , IMS , SSC , International Chinese Statistical Association , International Indian Statistical Association , Korean International Statistical Society , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society , International Statistical Institute , Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee , Statistics in Business Schools Interest Group
Organizer(s): David A. van Dyk, Imperial College London
Chair(s): David A. van Dyk, Imperial College London
8:35 AM
On Mining Big Data and Social Network Analysis
—
Philip S. Yu, University of Illinois at Chicago
9:25 AM
On Computational Thinking and Inferential Thinking
—
Michael I. Jordan, University of California at Berkeley
10:15 AM
Floor Discussion
283 * !
Tue, 8/2/2016,
8:30 AM -
10:20 AM
CC-W196b
Showcase of the Power of Statistics on Evaluating Dynamic Treatment Regimes Leading Toward Personalized Health Care — Invited Papers
ENAR , International Chinese Statistical Association
Organizer(s): Lu Wang, University of Michigan
Chair(s): Lu Wang, University of Michigan
8:35 AM
Model Validation and Selection in Estimation of Adaptive Treatment Strategies
—
Erica E. M. Moodie, McGill University ; Michael P. Wallace, McGill University ; David A. Stephens, McGill University
9:00 AM
Adaptive Treatment Allocations for Emerging Infectious Diseases
—
Eric Laber, North Carolina State University ; Nicholas Meyer, North Carolina State University ; Brian J. Reich, North Carolina State University ; Krishna Pacifici, North Carolina State University ; Tao Hu, North Carolina State University
9:25 AM
Stabilized Dynamic Treatment Regimes
—
Yingqi Zhao, Fred Hutchinson Cancer Research Center ; Ruoqing Zhu, University of Illinois at Urbana-Champaign ; Guanhua Chen, Vanderbilt University
9:50 AM
Discussant: Peter F. Thall, MD Anderson Cancer Center
10:10 AM
Floor Discussion
325
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W375b
Late-Breaking Session II: Data Journalism and Statistical Expertise: An Urgent Need for Writers, Bloggers, and Journalists to Be Statistically Savvy — Invited Special Presentation
ASA , ENAR , WNAR , SSC , IMS , International Chinese Statistical Association , International Indian Statistical Association , Korean International Statistical Society , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society , International Statistical Institute
Organizer(s): Rebecca Goldin, George Mason University
Chair(s): Rebecca Goldin, George Mason University
10:35 AM
Data Journalism and Statistical Expertise: An Urgent Need for Writers, Bloggers, and Journalists to Be Statistically Savvy
—
Regina Nuzzo, Gallaudet University ; Alberto Cairo, University of Miami ; Mark Hansen, David and Helen Gurley Brown Institute for Media Innovation/Columbia University ; Carl Bialik, FiveThirtyEight.com ; Katherine Hobson, Freelance Health and Science Writer
12:10 PM
Floor Discussion
337 * !
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-W196b
Fusion Learning and Combining Inference from Diverse Complex Data Sources — Invited Papers
ENAR , IMS , International Chinese Statistical Association
Organizer(s): Regina Liu, Rutgers University
Chair(s): BRAD EFRON, Stanford University
10:35 AM
Model Calibration Utilizing Summary-Level Information from External Big Data
—
Nilanjan Chatterjee, The Johns Hopkins University ; Yi-Hau Chen, Academia Sinica ; Paige Maas, National Cancer Institute ; Raymond Carroll, Texas A&M University
11:00 AM
Efficient inference for genetic association studies with multiple outcomes
—
Hélène Ruffieux, Ecole Polytechnique Fédérale de Lausanne ; Anthony C. Davison, Ecole Polytechnique Fédérale de Lausanne ; Irina Irincheeva, Nestlé Institute of Health Sciences SA ; Jörg Hager, Nestlé Institute of Health Sciences SA
11:25 AM
Generalized Fiducial Inference for Massive Heterogeneous Data
—
Jan Hannig, The University of North Carolina at Chapel Hill
11:50 AM
Fusion Learning from Complex Data Sets to Efficient Goal-Directed Individualized Inference
—
Regina Liu, Rutgers University ; Minge Xie, Rutgers University
12:15 PM
Floor Discussion
370
Tue, 8/2/2016,
10:30 AM -
12:20 PM
CC-Hall F1 West
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
Chair(s): Genevera Allen, Rice University
1:
Variable Selection for Multistate Models in the Presence of Missing Data
—
Lauren J. Beesley, University of Michigan ; Jeremy M. G. Taylor, University of Michigan
2:
Selecting Covariates in Differential Expression Analysis of RNA-Seq Data
—
Yet Nguyen, Iowa State University ; Dan Nettleton, Iowa State University
3:
Causal Inference with Partial Interference and Right-Censored Outcomes
—
Sujatro Chakladar ; Michael Hudgens, The University of North Carolina at Chapel Hill
4:
Patient-Derived Model Systems: Design Considerations for Pre-Clinical Study
—
Laila M. Poisson, Henry Ford Health System ; Hoon Kim, MD Anderson Cancer Center ; Mary Winn, Van Andel Research Institute ; David Cherba, Van Andel Research Institute ; Claudius Mueller, George Mason University ; Emmanuel F. Petricoin, George Mason University ; Roeland Verhaak, MD Anderson Cancer Center ; Tom Mikkelsen, Henry Ford Health System ; Ana deCarvalho, Henry Ford Health System
5:
A Comparison of the Parametric Models of Expenditure Distribution for West Bengal Households
—
Arkopal Choudhury
403 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W196a
New Methods for Detecting Sparse and Weak Effects in Genetic/Genomic Data — Invited Papers
ENAR
Organizer(s): Zheng Ke, The University of Chicago
Chair(s): Jiashun Jin, Carnegie Mellon University
2:05 PM
Goodness-of-Fit Statistics and Testing Sparse Normal Means Revisited
—
Jon A. Wellner, University of Washington
2:30 PM
A Geometric Comparison of the Rejection Regions of Popular Tests in Genetic Epidemiology
—
Ian Barnett, Harvard ; Xihong Lin, Harvard T.H. Chan School of Public Health ; Zhonghua Liu, Harvard
2:55 PM
Adaptive Surrogate Confounding Adjustment in Genomic Mediation Analysis and an Application to GTEx Data
—
Lin Chen, The University of Chicago ; Fan Yang, The University of Chicago ; Brandon Pierce, The University of Chicago
3:20 PM
Detecting Rare and Weak Spikes in Large Covariance Matrices
—
Zheng Ke, The University of Chicago
3:45 PM
Floor Discussion
424 * !
Tue, 8/2/2016,
2:00 PM -
3:50 PM
CC-W190a
Developing PRO Instruments in Clinical Trials: Issues, Considerations, and Solutions — Topic Contributed Panel
ENAR
Organizer(s): Marian M. Strazzeri, FDA
Chair(s): Laura Lee Johnson, FDA
2:05 PM
Developing PRO Instruments in Clinical Trials: Issues, Considerations, and Solutions
Panelists:
Cheryl Coon, Outcometrix
Dennis Revicki, Evidera
Scott Komo, FDA/CDER
Kendra DeBusk, Genentech
Lisa Kammerman, AstraZeneca
Stacie Hudgens, Clinical Outcome Solutions
3:45 PM
Floor Discussion
464
Wed, 8/3/2016,
8:30 AM -
10:20 AM
CC-W375b
Introductory Overview Lecture: Adaptive Clinical Trial Design — Invited Special Presentation
ASA , ENAR , WNAR , IMS , SSC , International Chinese Statistical Association , International Indian Statistical Association , Korean International Statistical Society , International Society for Bayesian Analysis (ISBA) , Royal Statistical Society , International Statistical Institute
Organizer(s): Scott Berry, Berry Consultants
Chair(s): Brian Hobbs, MD Anderson Cancer Center
8:35 AM
Bayesian Adaptive Designs
—
Scott Berry, Berry Consultants
10:05 AM
Floor Discussion
474 * !
Wed, 8/3/2016,
8:30 AM -
10:20 AM
CC-W180
Enrichment Strategies in Clinical Development — Invited Papers
Section on Medical Devices and Diagnostics , ENAR
Organizer(s): Hong Tian, Janssen R&D
Chair(s): Sudhakar Rao, Janssen R&D
8:35 AM
Estimation After Adaptive Population Enrichment Design
—
Vlad Dragalin, Janssen
9:00 AM
Adaptive Multi-Arm Multi-Stage Group Sequential Designs
—
Cyrus Mehta, Cytel ; Pranab Ghosh, Cytel
9:25 AM
Adaptive Enrichment Trials for Biomarker-Guided Treatments
—
Noah Simon, University of Washington ; Richard Macey Simon, National Cancer Institute
9:50 AM
Discussant: Richard Macey Simon, National Cancer Institute
10:10 AM
Floor Discussion
487 * !
Wed, 8/3/2016,
8:30 AM -
10:20 AM
CC-W182
Novel Statistical Methodologies for Neuroimaging Data — Topic Contributed Papers
ENAR , Biopharmaceutical Section , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Ranjan Maitra, Iowa State University
Chair(s): Adam Ciarleglio, Columbia University
8:35 AM
An Assessment of Statistical Models of Complex-Valued fMRI Data
—
Daniel Adrian, Grand Valley State University ; Ranjan Maitra, Iowa State University ; Daniel Rowe, Marquette University
8:55 AM
Quantifying Functional Connectivity with Data-Adaptive Covariance Matrices for Multivariate Functional Data
—
Alexander Petersen, University of California at Davis ; Hans-Georg Mueller, University of California at Davis
9:15 AM
A Joint Modeling Approach for Treatment Response and Baseline Imaging Data
—
Bei Jiang ; Eva Petkova, New York University ; Thaddeus Tarpey, Wright State University ; Robert Todd Ogden, Columbia University
9:35 AM
HPRM: Hierarchical Principal Regression Model of Diffusion Tensor Bundle Statistics
—
Jingwen Zhang ; Hongtu Zhu, The University of North Carolina at Chapel Hill ; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
9:55 AM
SENSE-Induced Correlation in Simultaneous Multi-Slice fMRI
—
Daniel Rowe, Marquette University
510 * !
Wed, 8/3/2016,
10:30 AM -
12:20 PM
CC-W185d
Multi-Platform Data Integration: Network and Prediction — Invited Papers
ENAR
Organizer(s): Gen Li, Columbia University
Chair(s): Eric F. Lock, University of Minnesota
10:35 AM
Multi-Platform Integration: Pathway-Based IBAG and Gene-Specific Epigenetic Profiles
—
Jeffrey S. Morris, MD Anderson Cancer Center ; Elizabeth McGuffey, U.S. Naval Academy ; Yusha Liu, Rice University ; Veera Baladandayuthapani, MD Anderson Cancer Center ; Keith A. Baggerly, MD Anderson Cancer Center
11:00 AM
Using Auxiliary Information to Enhance Prediction Models with Many Covariates
—
Jeremy M. G. Taylor, University of Michigan ; Philip Simon Boonstra, University of Michigan ; Bhramar Mukherjee, University of Michigan
11:25 AM
Integrated Kernel Learning for Genomic Data Mining and Prediction
—
Xuefeng Wang, SUNY Stony Brook ; Zhenyu Zhang, SUNY Stony Brook ; Minqin Chen, SUNY Stony Brook
11:50 AM
Discussant: Sunduz Keles, University of Wisconsin - Madison
12:10 PM
Floor Discussion
579 * !
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W183a
Challenges and Opportunities for Analysis of High-Dimensional and Big Data — Invited Papers
ENAR , Committee on Applied Statisticians
Organizer(s): Kevin He, University of Michigan
Chair(s): Kevin He, University of Michigan
2:05 PM
CoCoLasso for High-Dimensional Error-in-Variables Regression
—
Hui Zou, University of Minnesota ; Abhirup Datta, University of Minnesota
2:30 PM
Covariance-Insured Screening Methods for Ultrahigh-Dimensional Variable Selection
—
Yi Li, University of Michigan ; Ji Zhu, University of Michigan ; Jiashun Jin, Carnegie Mellon University ; Kevin He, University of Michigan ; Yanming Li, University of Michigan
2:55 PM
Robust Covariance Estimation for Approximate Factor Models
—
Jianqing Fan, Princeton ; Weichen Wang, Princeton ; Yiqiao Zhong, Princeton
3:20 PM
Discussant: Jiashun Jin, Carnegie Mellon University
3:40 PM
Floor Discussion
615
Wed, 8/3/2016,
2:00 PM -
3:50 PM
CC-W186a
Methods for Analyzing High-Dimensional Sequencing Data — Contributed Papers
ENAR , Biopharmaceutical Section
Chair(s): Shengchun Kong, Gilead Sciences
2:05 PM
Simulation Studies for Comparison of Gene-Based Association Tests
—
Hung-Chih Ku, DePaul University ; Chao Xing, The University of Texas Southwestern Medical Center
2:20 PM
Geometrical and Symbolic Transformation of Sequential Data
—
Rainhard Bengez
2:35 PM
Flexible Prior Specification Through Empirical Reparameterization in Hierarchical Models for RNA-Seq Experiments
—
Andrew Lithio, Iowa State University ; Dan Nettleton, Iowa State University
2:50 PM
Identify Host Genetic Variants Associated with Microbiome Composition in Large-Scale Studies
—
Jianxin Shi, National Cancer Institute ; Xing Hua, National Cancer Institute
3:05 PM
Conditional Inference for the Kernel Association Tests
—
Kai Wang, University of Iowa
3:20 PM
Cross-Validated STEPP Analysis for Biomarker Subgroup Determination Problems
—
Gu Mi, Eli Lilly and Company ; Tuan Stevon Nguyen, Eli Lilly and Company ; Jonathan Denne, Eli Lilly and Company
3:35 PM
Floor Discussion
625 * !
Thu, 8/4/2016,
8:30 AM -
10:20 AM
CC-W183b
New Development of Robust Learning Methods for Medical Decision Making — Invited Papers
ENAR
Organizer(s): Wenbin Lu, North Carolina State University
Chair(s): Wenbin Lu, North Carolina State University
8:35 AM
Personalized Treatment for Longitudinal Data Using Unspecified Random-Effects Model
—
Hyunkuen Cho, Western Michigan University ; Peng Wang, University of Cincinnati ; Annie Qu, University of Illinois at Urbana-Champaign
9:00 AM
Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes
—
Caiyun Fan, Shanghai University of Finance and Economics ; Wenbin Lu, North Carolina State University ; Rui Song, North Carolina State University ; Yong Zhou, Shanghai University of Finance and Economics
9:25 AM
Estimating the Optimal Regime to Prolong Survival in Treatment of Prostate Cancer Recurrence Using Flexible Weighting Models
—
Jincheng Shen, Harvard T.H. Chan School of Public Health ; Lu Wang, University of Michigan ; Jeremy M. G. Taylor, University of Michigan
9:50 AM
Quantile-Based Method for Choosing Optimal Treatments Using Biomarkers
—
Xiao-Hua Andrew Zhou, University of Washington
10:15 AM
Floor Discussion
674
Thu, 8/4/2016,
10:30 AM -
12:20 PM
CC-W183b
New Development of Flexible Methods for Survival Analysis — Invited Papers
ENAR , IMS , International Chinese Statistical Association , Conference on Statistical Practice Steering Committee
Organizer(s): Rui Song, North Carolina State University
Chair(s): Rui Song, North Carolina State University
10:35 AM
Variable Selection for Quantile Regression Under General Censoring Scheme
—
Lan Wang, University of Minnesota
11:00 AM
Maximum Likelihood Estimation for Semiparametric Models with Interval-Censored Data
—
Danyu Lin, The University of North Carolina at Chapel Hill
11:25 AM
Cox Model Asymptotic Distributional Theory of Weighted Estimation for Nested Case-Control Design
—
Bin Nan, University of Michigan ; Ross Prentics, Fred Hutchinson Cancer Research Center ; Tianxi Cai, Harvard
11:50 AM
Doubly Robust Estimation of Optimal Treatment Regime in Additive Hazards Regression
—
Wenbin Lu, North Carolina State University ; Suhyun Kang, North Carolina State University
12:15 PM
Floor Discussion
682 * !
Thu, 8/4/2016,
10:30 AM -
12:20 PM
CC-W186a
Modern Inference for Selected Models — Topic Contributed Papers
ENAR , Biopharmaceutical Section , International Chinese Statistical Association
Organizer(s): Yuval Benjamini, Hebrew University
Chair(s): Nancy Zhang, University of Pennsylvania
10:35 AM
Adaptive Sequential Model Selection
—
William Fithian, University of California at Berkeley ; Jonathan Taylor, Stanford University ; Robert Tibshirani, Stanford University ; Ryan Tibshirani, Carnegie Mellon University
10:55 AM
Measuring Bumps: Intervals for Effect Size of Selected Regions in Genomic Signal
—
Yuval Benjamini, Hebrew University ; Rafael A. Irizarry, Dana-Farber Cancer Institute ; Jonathan Taylor, Stanford University
11:15 AM
Selection-Adjusted Bayesian Inference in the Linear Model
—
Asaf Weinstein ; Jonathan Taylor, Stanford University ; Snigdha Panigrahi, Stanford University
11:35 AM
No Assumptions? No Problem!
—
Ryan Tibshirani, Carnegie Mellon University ; Sangwon Hyun, Carnegie Mellon University
11:55 AM
Floor Discussion