Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

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

Activity Details

218988	Sun, 7/28/2019, 5:00 PM - 7:00 PM	H-Agate A
Lifetime Data Science Section Executive Committee Meeting (Closed) — Other Cmte/Business
Lifetime Data Science Section
Chair(s): Jianwen Cai, The University of North Carolina at Chapel Hill

116 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-104
Recent Advances in Cure Rate Models for Long-Term Survivors — Topic Contributed Papers
Biometrics Section, ENAR, Lifetime Data Science Section
Organizer(s): Wei-Wen Hsu, Kansas State University
Chair(s): KyungMann Kim, University of Wisconsin-Madison
8:35 AM	Marginal Mean Hazard Rate Models for Long-Term Survivors with High-Dimensional Covariates Wei-Wen Hsu, Kansas State University; Jianfeng Chen, Kansas State University; David Todem, Michigan State University; KyungMann Kim, University of Wisconsin-Madison
8:55 AM	Nonparametric Scanning Tests for Homogeneity with Continuous Covariates in Cure Rate Models David Todem, Michigan State University
9:15 AM	Testing for Homogeneity in Two-Component Mixture Models: a Bayesian Model Comparison Approach Gyuhyeong Goh, Kansas State University; Wei-Wen Hsu, Kansas State University; David Todem, Michigan State University
9:35 AM	Applying Cure Models with Competing Risks and Complex Censoring Patterns Presentation Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan
9:55 AM	Floor Discussion

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

244	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-504
New Advances in the Analysis of Competing Risks Data and Interval Censored Data and Related Topics — Contributed Papers
Lifetime Data Science Section
Chair(s): Scott Alan Bruce, George Mason University
2:05 PM	A Fast and Scalable Sparse Regression Method for Competing Risks Data Presentation Eric Kawaguchi, UCLA Department of Biostatistics; Marc Suchard, UCLA; Gang Li, UCLA; Jenny I. Shen, University of California, Los Angeles
2:20 PM	Cross-Sectional Length-Biased Semi-Competing Risks Data Presentation Alexander C McLain, University of South Carolina; Jiajia Zhang, University of South Carolina; Marie Thoma, University of Maryland
2:35 PM	Instrumental Variable Estimation of Exposure Effects for Competing Risks Data Using a Semiparametric Mixture Component Model Presentation Sai Dharmarajan, Food and Drug Administration; Douglas Schaubel, University of Michigan
2:50 PM	Propensity Score Matching with Missing Causes of Failure: a Monte Carlo Study Seungbong Han, Gachon University
3:05 PM	An Ensemble Method for Interval-Censored Time-To-Event Data Presentation 1 Presentation 2 W. Yao, Stern, New York University; H. Frydman, New York University; Jeffrey S. Simonoff, New York University
3:20 PM	Semiparametric Transformation Models for Left-Truncated and Interval-Censored Data Without or with a Cure Fraction Chyong-Mei Chen
3:35 PM	Floor Discussion

277 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-506
Statistical Methods for Composite Time-To-Event Endpoints — Invited Papers
Lifetime Data Science Section, ENAR, Biometrics Section
Organizer(s): Lu Mao, University of Wisconsin-Madison
Chair(s): Ting Ye, University of Wisconsin at Madison
8:35 AM	A Class of Proportional Win Fractions Regression Models for Composite Endpoints Lu Mao, University of Wisconsin-Madison
8:50 AM	Semiparametric Regression Analysis for Composite Endpoints Subject to Component-Wise Censoring Guoqing Diao, George Mason University; Donglin Zeng, UNC Chapel Hill; Chunlei Ke, Biogen; Haijun Ma, Amgen Inc.; Qi Jiang, Amgen; Joseph G Ibrahim, UNC
9:05 AM	Nonparametric Estimation of the Curtailed Win-Ratio David Oakes , University of Rochester
9:20 AM	Some Meaningful Weighted Win Loss Statistics Presentation Xiaodong Luo; Hui Quan, Sanofi US
9:35 AM	Stratified Win Ratio and Handling of Ties Presentation Gaohong Dong, iStats Inc.; Junshan Qiu, FDA/CDER; Roland A. Matsouaka, Duke University School of Medicine; Victoria Chang, Abbvie; Jiuzhou Wang, ImmunoGen Inc.; David C. Hoaglin, University of Massachusetts Medical School; Marc Vandemeulebroecke, Novartis Phama AG
9:50 AM	Discussant: KyungMann Kim, University of Wisconsin-Madison
10:05 AM	Floor Discussion

293 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-507
Recent Advances in Lifetime Data Analysis — Topic Contributed Papers
Lifetime Data Science Section, Section on Risk Analysis, International Chinese Statistical Association
Organizer(s): Mei-Ling Ting Lee, University of Maryland
Chair(s): Chung-Chou H. Chang, University of Pittsburgh
8:35 AM	Estimations of the Joint Distribution of Failure Time and Failure Type with Prevalent Survival Data Yu-Jen Cheng, National Tsing Hua University; Mei-Cheng Wang, Johns Hopkins University; Chang-Yu Tsai, National Tsing Hua University
8:55 AM	Function-Based Hypothesis Testing in Uncensored and Censored Two-Sample Location-Scale Models Presentation Sundarraman Subramanian, New Jersey Institute of Technology
9:15 AM	Variable Screening with Multiple Studies and Its Application in Survival Analysis Presentation Tianzhou Ma, University of Maryland College Park; Zhao Ren, University of Pittsburgh; George Tseng, University of Pittsburgh; Mei-Ling Ting Lee, University of Maryland; Takumi Saegusa, University of Maryland
9:35 AM	Distribution-Free Threshold Regression for Time-To-Event Analysis Presentation Mei-Ling Ting Lee, University of Maryland; George A Whitmore, McGill University
9:55 AM	Discussant: George A Whitmore, McGill University
10:15 AM	Floor Discussion

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

408	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-709
Joint Modeling of Longitudinal and Survival Data and Related Topics — Contributed Papers
Lifetime Data Science Section
Chair(s): Mengdie Yuan, Food and Drug Administration
2:05 PM	The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression Bo Hu, Columbia University; Ying Wei, Columbia University, Biostatistics Department; Mary Beth Terry, Columbia University
2:20 PM	Joint Analysis of Longitudinal and Interval-Censored Failure Time Data Yin-Chu Chang
2:35 PM	Joint Latent Class Trees: a Tree-Based Approach to Joint Modeling of Time-To-Event and Longitudinal Data Presentation Ningshan Zhang, New York University; Jeffrey S. Simonoff, New York University
2:50 PM	Bayesian Joint Models for Longitudinal and Competing Risks Data Presentation Allison Furgal, University of Michigan Biostatistics; Ananda Sen, University of Michigan; Jeremy Taylor, University of Michigan
3:05 PM	Joint Modeling of Longitudinal Data and Informative Zero-Inflated Cluster Size Adjusted for a Terminal Event Biyi Shen, The Pennsylvania State University; Vernon Chinchilli, Pennsylvania State University; Ming Wang, Pennsylvania State University
3:20 PM	A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinal Biomarker Presentation Krithika Suresh, University of Colorado; Jeremy Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
3:35 PM	H-Likelihood Estimation for Survival Analysis with Log-Skew-Normal Shared Frailty Presentation Adams Kusi Appiah, Unversity of Nebraska Medical Center; Gleb Haynatzki, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center

218990	Tue, 7/30/2019, 5:00 PM - 6:00 PM	CC-712
Lifetime Data Science Section Business Meeting — Other Cmte/Business
Lifetime Data Science Section
Chair(s): Jianwen Cai, University of North Carolina at Chapel Hill

496 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-603
Estimand Framework and Its Impact on Drug Development in Oncology — Topic Contributed Papers
Lifetime Data Science Section, Biopharmaceutical Section, Biometrics Section
Organizer(s): Evgeny Degtyarev, Novartis ; Kaspar Rufibach, F. Hoffmann-La Roche
Chair(s): Rui Tang, Servier
10:35 AM	Estimand Framework in Oncology Drug Development – Impact and Opportunities Presentation Evgeny Degtyarev, Novartis ; Kaspar Rufibach, F. Hoffmann-La Roche; Jonathan Siegel, Bayer HealthCare Pharmaceuticals Inc.; Viktoriya Stalbovskaya, Merus; Steven Sun, J&J
10:55 AM	Importance of Censoring Mechanisms in Selecting Appropriate Estimands Presentation Jonathan Siegel, Bayer HealthCare Pharmaceuticals Inc.; Michelle Casey , Pfizer; Hans-Jochen Weber, Novartis; Anja Schiel, EMA BSWP/SAWP; Stefan Englert, AbbVie Deutschland GmbH & Co KG; Steven Sun, J&J; Kaspar Rufibach, F. Hoffmann-La Roche
11:15 AM	Sensitivity Analysis Vs Supportive Analysis Under Estimand Framework: a Case Study in Hematological Malignancies Presentation Steven Sun, J&J; Hans-Jochen Weber, Novartis; Marie-Laure Casadebaig, Celgene; Emily Butler, GlaxoSmithKline; Satrajit Roychoudhury, Pfizer Inc ; Kaspar Rufibach, F. Hoffmann-La Roche; Viktoriya Stalbovskaya, Merus
11:35 AM	Estimand Framework – Are We Asking the Right Questions? a Case Study in the Solid Tumor Setting Presentation Michelle Casey , Pfizer; Evgeny Degtyarev, Novartis ; Maria Jose Lechuga, Pfizer, Inc.; Paola Aimone, Novartis Pharma AG; Feng Feng Liu, AstraZeneca; Viktoriya Stalbovskaya, Merus; Rui Tang, Servier; Emily Butler, GlaxoSmithKline; Oliver Sailer, Boehringer Ingelheim Pharma GmbH & Co
11:55 AM	Discussant: Kunthel By, Division of Biometrics V, OB/OTS/CDER FDA
12:15 PM	Floor Discussion

524	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Lifetime Data Science Section — Contributed Poster Presentations
Lifetime Data Science Section, Section on Teaching of Statistics in the Health Sciences
Chair(s): Wendy Meiring, University of California At Santa Barbara
49:	Infinite Parameter Estimates in Proportional Hazards Regression John E Kolassa, Rutgers, the State University of New Jersey; Juan Zhang, Allergan Pharmaceuticals
50:	Estimating Causal Effect of Multiple Treatments with Censored Data in Observational Studies Youfei Yu, University of Michigan; Min Zhang, University of Michigan; Bhramar Mukherjee, University of Michigan

551 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-109
Risk Prediction Methods and Applications in Risk Stratified Prevention — Invited Papers
ENAR, Lifetime Data Science Section, Section on Statistics in Epidemiology
Organizer(s): Parichoy Pal Choudhury, National Cancer Institute
Chair(s): Yei Eun Shin, National Cancer Institute
2:05 PM	Using Deep Learning to Build Risk Prediction Models for Time-to-Event Outcomes Jon Steingrimsson, Brown University; Samantha Morrison, Brown University; Constantine Gatsonis, Brown University
2:25 PM	Case-Only Analysis of Gene-Environment Interactions Using Polygenic Risk Scores Presentation Allison Meisner, Johns Hopkins Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
2:45 PM	Generalized Meta-Analysis for Combining Disparate Risk Factor Information Across Studies: Inference on Multiple Regression Based Risk Prediction Models Presentation Prosenjit Kundu, The Johns Hopkins University Bloomberg School of Public Health; Runlong Tang, The Johns Hopkins University Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
3:05 PM	Development and Validation of Breast Cancer Risk Prediction Models Using ICARE and Projections for Future Risk Stratification Amber Wilcox, National Cancer Institute; Parichoy Pal Choudhury, National Cancer Institute; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:25 PM	Racial and Ethnic Fairness in Clinical Risk Prediction with an Application to Suicide Risk Prediction Presentation Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:45 PM	Floor Discussion

564 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-112
Analysis of Left-Censored Data (E.G., Below Detection): Real-World Problems in Need of Statisticians — Topic Contributed Papers
Biometrics Section, Lifetime Data Science Section, Section on Statistics and the Environment
Organizer(s): Brenda W Gillespie, University of Michigan
Chair(s): Alexander C McLain, University of South Carolina
2:05 PM	How Many Licks Does it Take? Measuring Beryllium in the Workplace Presentation Brian Weaver; Kimberly Kaufeld, Los Alamos National Laboratory; Richard Warr, Brigham Young University
2:25 PM	Quantifying Information in Left-Censored Data: Why the Percent Censored Is a Misleading Metric Presentation Brenda W Gillespie, University of Michigan
2:45 PM	Profile Likelihood Estimation of the Correlation Coefficient in the Presence of Left, Right or Interval Censoring and Missing Data Yanming Li, University of Michigan; Brenda W Gillespie, University of Michigan; Kerby Shedden, University of Michigan; John Gillespie, University of Michigan -Dearborn
3:05 PM	Accommodating Multiple Correlated Measurements Subject to Left-Censoring Due to Assay Limits of Detection: a Novel Application of Multivariate Time-To-Event Regression Shanshan Zhao, National Institute of Environmental Health Sciences; Ling-Wan Chen, NIEHS
3:25 PM	Discussant: William Q. Meeker, Iowa State University
3:45 PM	Floor Discussion

642 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-106
Advanced Statistical Methods for Large Data Sets — Topic Contributed Papers
Social Statistics Section, International Chinese Statistical Association, Lifetime Data Science Section, Section on Statistical Learning and Data Science
Organizer(s): Xingqiu Zhao, The Hong Kong Polytechnic University
Chair(s): Jianguo Sun, University of Missouri
10:35 AM	Distributed Learning with Minimum Error Entropy Principle Xin Guo, The Hong Kong Polytechnic University; Ting Hu, Wuhan University; Qiang Wu, Middle Tennessee State University
10:55 AM	Entropy Learning for Dynamic Treatment Regimes Presentation Binyan Jiang
11:15 AM	Efficient Fused Learning for Distributed Imbalanced Data Yuanyuan Lin
11:35 AM	Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression Cheng Wang, Shanghai Jiao Tong University
11:55 AM	Penalized Generalized Empirical Likelihood with a Diverging Number of General Estimating Equations for Censored Data Presentation Xingqiu Zhao, The Hong Kong Polytechnic University; Niansheng Tang, Yunnan University; Xiaodong Yan, Shandong University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association