Session Booklet - American Statistical Association

The content in this book is accurate as of July 11, 2018

Table of Contents

General Program

Sunday, July 29............................................................................ 3 Monday, July 30........................................................................34 Tuesday, July 31........................................................................91 Wednesday, August 1.......................................................... 148 Thursday, August 2............................................................... 193

Index

Index of Session Participants............................................ 217

Session Tag Descriptions

We expect both theme and applied sessions to draw a diverse audience.

THEME

JSM theme sessions are directly relevant to the JSM 2018 theme, #LeadWithStatistics. Theme sessions are designed to expand the frontiers of statistical thought, emphasize new directions, and promote interdisciplinary collaboration.

APPLIED

JSM applied sessions have applications at the heart of the presentations. Because these sessions are grounded in applications across many areas of science and engineering, they may involve interdisciplinary work and include presentations by nonstatisticians. Applied sessions vary in scope, ranging from presentations on state-of-the-art statistical methodology applied to real-world problems to those that are tutorial in nature.

JSM 2018 | SUNDAY GENERAL PROGRAM SCHEDULE

Themed Session Applied Session F Presenter CC-West--Convention Centre, West Building CC-East--Convention Centre, East Building

SUNDAY

SUNDAY JULY 29

2:05 p.m.

Special Presentation 2:00 p.m.--3:50 p.m.

2:30 p.m.

2

CC-West Ballroom A

Introductory Overview Lecture: The Deep Learning Revolution--Invited

JSM Partner Societies

Organizer(s): Ryan Tibshirani, Carnegie Mellon University

Chair(s): Zaid Harchaoui, University of Washington

2:55 p.m. 3:20 p.m. 3:45 p.m.

Framing Reproducibility Issues in Computationally- and Data-Enabled Research?--FVictoria Stodden, University of Illinois

Transparency, Reproducibility, and Replicability-- FMargaret Levenstein, Inter-university Consortium for Political and Social Research

Enhancement of Transparency, Reproducibility, and Replicability in the Integration of Multiple Data Sources--FJohn L. Eltinge, United States Census Bureau

Disc: Emilda Rivers, National Center for Science and Engineering Statistics, NSF

Floor Discussion

2:05 p.m. 3:40 p.m.

A Four-Part Introduction to Deep Learning-- FChristopher Manning, Stanford University; FRuslan Salakhutdinov, Carnegie Mellon University

Floor Discussion

Invited Sessions 2:00 p.m.--3:50 p.m.

3

CC-West 301

n l Remembering Stephen E. Fienberg--Invited

Memorial, Social Statistics Section, History of Statistics Interest

Group, Survey Research Methods Section

Organizer(s): Alicia Carriquiry, Iowa State University; Asaph Young Chun, US Census Bureau

Chair(s): Amanda Luby, Carnegie Mellon University

2:05 p.m.

2:20 p.m.

2:35 p.m. 2:50 p.m. 3:05 p.m. 3:20 p.m.

Statistical Data Protection Needs Statisticians-- FAleksandra Slavkovic, Pennsylvania State University

The Role of Statistics in Improving Forensic Science-- FHal Stern, University of California, Irvine

Disc: William Eddy, Carnegie Mellon University

Disc: Alicia Carriquiry, Iowa State University

Disc: Maria Cuellar, Carnegie Mellon University

Floor Discussion

4

CC-East 16

n Transparency, Reproducibility and Replicability in Work with Social and Economic Data--Invited

Government Statistics Section, Social Statistics Section, Survey Research Methods Section, Section on Statistical Computing

Organizer(s): Mike L. Cohen, Committee on National Statistics

Chair(s): Mike L. Cohen, Committee on National Statistics

5

CC-East 19

n l Strategic Planning and Vision Building for

the Statistics Profession: Are Existing Databases

Underutilized?--Invited

Social Statistics Section, IMS, Conference Board of the Mathematical

Sciences, SSC

Organizer(s): Amanda L. Golbeck, University of Arkansas for Medical Sciences

Chair(s): Roy E. Welsch, Massachusetts Institute of Technology

2:05 p.m.

2:30 p.m. 2:55 p.m. 3:20 p.m. 3:45 p.m.

Seeing the Big Picture in, and Having More Influence on, the Statistics Profession from Your Vantage Point-- FAmanda L. Golbeck, University of Arkansas for Medical Sciences

Leading Toward Evidence-Based Educational Improvement Using the CBMS Survey--FEllen E. Kirkman, Wake Forest University

Stats on Stats: Statistical Sciences in the Annual Survey of the Mathematical Sciences--FThomas Harold Barr, American Mathematical Society

Disc: Sally C. Morton, Virginia Tech

Floor Discussion

6

CC-West 121

n l Recent Advance of Nonparametric and Semiparametric Techniques with Complex Data Structure--Invited

Section on Nonparametric Statistics, ENAR, Biometrics Section, SSC

Organizer(s): Jiwei Zhao, State University of New York At Buffalo

Chair(s): Jiwei Zhao, State University of New York At Buffalo

2:05 p.m.

Semiparametric Regression Analysis of Multiple Rightand Interval-Censored Events--Fei Gao, University of Washington; FDonglin Zeng, UNC Chapel Hill; Danyu

Lin, University of North Carolina

VANCOUVER, BRITISH COLUMBIA, CANADA 3

JSM 2018 | SUNDAY GENERAL PROGRAM SCHEDULE

Themed Session Applied Session F Presenter CC-West--Convention Centre, West Building CC-East--Convention Centre, East Building

SUNDAY

2:25 p.m. 2:45 p.m. 3:05 p.m. 3:25 p.m. 3:45 p.m.

Quantile-Optimal Treatment Regimes--FLan Wang, University of Minnesota; Yu Zhou, University of Minnesota; Rui Song, North Carolina State University; Ben Sherwood, University of Kansas

Semiparametric Theory for Causal Inference with Negative Controls--FXu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania

A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse--FJaekwang Kim, Iowa State University; Kosuke Morikawa, Osaka University ; Hejian Sang, Iowa State University

Optimal Pseudolikelihood Estimation in Multivariate Missing Data with Nonignorable Nonresponse--Jiwei Zhao, State University of New York At Buffalo; FYanyuan Ma, Penn State University

Floor Discussion

7

CC-West 110

l Bayesian Nonparametrics in Causal Inference--Invited

Section on Bayesian Statistical Science, Biometrics Section, ENAR

Organizer(s): Chanmin Kim, Boston University School of Public Health

Chair(s): Corwin Zigler, Harvard T.H. Chan School of Public Health

2:05 p.m. 2:25 p.m. 2:45 p.m. 3:05 p.m. 3:25 p.m.

3:45 p.m.

A Bayesian Nonparametric Approach for Causal Inference with Semi-Competing Risks--FMichael Daniels, University of Florida; Peter M?ller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Daniel Scharfstein, Johns Hopkins University

Regularization and Aliasing in the Estimation of Treatment Effect Moderation--FPaul Richard Hahn, Arizona State University ; Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin

Bayesian Population Finding Using Counterfactual Modeling of Responses--FPeter M?ller, University of Texas Austin; Satoshi Morita, Kyoto University

Causal Inference for Outcomes Partially Identified by Longitudinal Laboratory Measures from EHRs-- Jason Roy, University of Pennsylvania; FBret Zeldow, University of Pennslyvania

Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Air Pollution--FChanmin Kim, Boston University School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Jason Roy, University of Pennsylvania; Michael Daniels, University of Florida

Floor Discussion

4 JSM 2018

8

CC-West 120

n l Computational Methods and Bayesian Inference for Networks--Invited

Council of Chapters

Organizer(s): Liangliang Wang, Simon Fraser University

Chair(s): Jiguo Cao, Simon Fraser University

2:05 p.m.

2:25 p.m. 2:45 p.m. 3:05 p.m. 3:25 p.m. 3:45 p.m.

Model Calibration of a Protein-Signaling Network-- FDerek Bingham, Simon Fraser University; David Alexander Campbell, Simon Fraser University; David C. Clarke, Simon Fraser University; Mike Grosskopf, Simon Fraser University; Luyao Lin, Simon Fraser University; Biljana Jonoska Stojkova , University of British Columbia

High-Dimensional MCMC Diagnostics with Application to Spatial Text Clustering of Beer Flavours--FDavid Alexander Campbell, Simon Fraser University; Subhash Lele, University of Alberta; Peter Solymos, Alberta Biodiversity Monitoring

Bayesian Inference for Phylogenetic Trees and Networks--FLiangliang Wang, Simon Fraser University; Shijia Wang, Simon Fraser University; Alexandre Bouchard-C?t?, University of British Columbia

A Bayesian Nonparametric Model for Community Discovery on the Bitcoin Transaction Network-- FCreagh Briercliffe, University of British Columbia; Alexandre Bouchard-C?t?, University of British Columbia; Paul Gustafson, University of British Columbia

Disc: Camila P. E. de Souza, BC Cancer Agency Research Centre

Floor Discussion

9

CC-West 202

n l Data Science Education - Successes and Challenges:

Stories from the Classroom and Beyond--Invited

Journal of Statistics Education, Business Analytics/Statistics Educa-

tion Interest Group

Organizer(s): Soma Roy, Cal Poly, San Luis Obispo

Chair(s): Amy Wagler, The University of Texas at El Paso

2:05 p.m. 2:25 p.m. 2:45 p.m.

3:05 p.m.

3:25 p.m. 3:45 p.m.

Teaching Students to Think About Data Representation-- FDennis L Sun, Cal Poly and Google

An Interdisciplinary Approach to Data Science Education--FGalin Jones, University of Minnesota

Scaling a Data Science Curriculum to the Masses: Success and Failures in the Undergraduate Classroom-- FThomas Fisher, Miami University

Data Science: a Recent Graduate's `Reverse Engineered' Perspective--FKelsey Warsinske, DePauw University, Miami University, Facebook

Disc: Nicholas J. Horton, Amherst College

Floor Discussion

JSM 2018 | SUNDAY GENERAL PROGRAM SCHEDULE

Themed Session Applied Session F Presenter CC-West--Convention Centre, West Building CC-East--Convention Centre, East Building

SUNDAY

10

CC-West 122

n l State Space Assessment Models for Complex Fisheries and Biological Data--Invited

Canadian Statistical Sciences Institute, SSC

Organizer(s): Joanna Mills Flemming, Dalhousie University

Chair(s): William H Aeberhard, Dalhousie University

2:05 p.m. 2:30 p.m. 2:55 p.m. 3:20 p.m.

State-Space Modeling Applications in Fisheries Science and Management--FSean Patrick Cox, Simon Fraser University

Non-Standard Model Building and Model Validation Examplified by Fish Stock Assessment--FAnders Nielsen, Technical University of Denmark

Statistical Modeling of Animal Movement--FLouis-Paul Rivest, Universit? Laval

Floor Discussion

11

CC-West 206/207

n l Daunting Challenges and Innovative Solutions for Big Data Analysis--Invited

Section on Statistical Computing, Caucus for Women in Statistics, Section on Statistical Learning and Data Science, SSC, Social Statistics Section

Organizer(s): Nusrat Jahan, James Madison University

Chair(s): Nusrat Jahan, James Madison University

2:05 p.m. 2:30 p.m.

2:55 p.m. 3:20 p.m. 3:45 p.m.

Spatially Informed Variable Selection Priors and Application to Neuroimaging Data--FMarina Vannucci, Rice University

Analysis and Visualization for Large-Scale Scientific Simulations--FJoanne R. Wendelberger, Los Alamos National Laboratory; Divya Banesh, Los Alamos National Laboratory; James Ahrens, Los Alamos National Laboratory

Nonparametric Empirical Bayes Methods for High Dimension Problems--FLinda Zhao, University of Pennsylvania; Junhui Cai, University of Pennsylvania

Data-Driven Regularization and Priors in GWAS and Mediation Analysis--FSunduz Keles, University of Wisconsin, Madison

Floor Discussion

12

CC-West 224

n l Novel Statistical Methods for Analyzing Electronic Health Records and Biobank Data--Invited

WNAR, International Chinese Statistical Association, ENAR

Organizer(s): Ran Tao, Vanderbilt University Medical Center

Chair(s): Ran Tao, Vanderbilt University Medical Center

2:05 p.m. 2:30 p.m. 2:55 p.m. 3:20 p.m.

3:45 p.m.

Retrospective Study Designs for Longitudinal Data Obtained from a Biobank-Linked Electronic Medical Record--FJonathan Schildcrout, Vanderbilt University Medical Center

Efficiently Controlling for Unbalanced Case-Control Ratios and Sample Relatedness for Binary Traits in PheWAS by Large Cohorts--FSeunggeun Lee, University of Michigan

Scalable Methods for Association Analysis in Biobank Scale Data Sets--FDajiang Liu, Penn State College of Medicine

Enabling Phenotypic Big Data with PheNorm-- FSheng Yu, Tsinghua University; Yumeng Ma, Tsinghua University; Jessica Gronsbell, Harvard T.H. Chan School of Public Health; Tianrun Cai, Brigham and Women's Hospital; Ashwin Ananthakrishnan, Massachusetts General Hospital; Vivian Gainer, Partners HealthCare; Susanne Churchill, Harvard Medical School; Peter Szolovits, Massachusetts Institute of Technology; Shawn Murphy, Partners HealthCare; Isaac Kohane, Harvard Medical School; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard T.H. Chan School of Public Health

Floor Discussion

13

CC-West 222

n Integrative Approaches for Analysis of Complex

Phenotype and DNA Sequence Data--Invited

ENAR, WNAR, Section on Statistics in Genomics and Genetics

Organizer(s): Dmitri Zaykin, National Institute of Environmental Health Sciences

Chair(s): Dmitri Zaykin, National Institute of Environmental Health Sciences

2:05 p.m.

2:25 p.m. 2:45 p.m.

3:05 p.m.

3:25 p.m. 3:45 p.m.

Simultaneous Genetic Analysis of Sequence Data from a Pair of Organisms That Jointly Influence a Phenotype-- FMary Sara McPeek, University of Chicago; Miaoyan Wang, UC Berkeley

Genetic Analysis of High-Dimensional Phenotypes-- FMichael Philip Epstein, Emory University

Rare Variant Prioritization Using Structure-Supervised Locus-Specific Tests--FJung-Ying Tzeng, North Carolina State University; Rachel Marceau, North Carolina State University; Wenbin Lu, North Carolina State University

Unified Sequence Based Association Tests Allowing for Multiple Functional Annotation Scores, and Applications to Meta-Analysis of Noncoding Variation in Metabochip Data--FIuliana Ionita-Laza, Columbia University

Disc: Olga Vsevolozhskaya, University of Kentucky

Floor Discussion

VANCOUVER, BRITISH COLUMBIA, CANADA 5

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