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

Activity Details

296 Tue, 7/30/2019, 8:30 AM - 10:20 AM CC-105
SPEED: Biometrics - Methods and Application, Part 1 — Contributed Speed
Biometrics Section, Section on Bayesian Statistical Science
Chair(s): Katherine E Irimata, National Center for Health Statistics
Poster Presentations for this session.
8:35 AM Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts

Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
8:40 AM An Exponential Effect Persistence Model for Intensive Longitudinal Data
Claude Setodji, RAND Corporation; Steven C. Martino, RAND Corporation; Michael S. Dunbar, RAND Corporation; William G. Shadel, RAND Corporation
8:45 AM Analyzing Pre-Post Randomized Studies with One Post-Randomization Score Using Repeated Measures and ANCOVA Models

Fei Wan, University of Arkansas for Medical Sciences
8:50 AM Spectral Parameterization, Diagnostics, and Remedies for Confounding of Fixed Effects by Random Effects

Patrick Schnell, Ohio State University; Maitreyee Bose, Amgen
8:55 AM Differential Abundance Analyzes of Pre- and Post-Metabolomic Data with Steroid Treatment for Bronchopulmonary Dysplasia
Prabhakar Chalise, University of Kansas Medical Center; Tamorah R Lewis, Children’s Mercy Hospital, University of Missouri Kansas City
9:05 AM SignNets: Fine Tuning Gene-Gene Similarity Metrics in Biological Systems

Crystal Shaw, UCLA; Vinayagam Arunachalam, Pfizer, Inc.; Jadwiga R Bienkowska, Pfizer, Inc.
9:10 AM To EM or Not to EM: Updated Estimation of the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients

Audrey Mauguen, Memorial Sloan Kettering Cancer Center; Venkatraman E. Seshan, MSKCC; Irina Ostrovnaya, MSKCC; Colin Begg, Memorial Sloan Kettering Cancer Center
9:15 AM Is it ‘random’ or ‘haphazard’? Demonstrating Effects of Nonrandom Allocation by Simulation

Penny Reynolds, University of Florida College of Medicine
9:20 AM Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time
Sanhita Sengupta, University of Minnesota
9:30 AM Item Response Theory Models for Survival Analysis and the Detection of Treatment Efficacy

Charlie Iaconangelo, Pharmerit International
9:35 AM Similarity-Based Probability Weighted Learning for Individual Treatment Rule Estimation

Jinchun Zhang, New York University; Andrea B Troxel, NYU School of Medicine; Eva Petkova, New York University
9:40 AM Multivariate Longitudinal Data from Eyes - Microperimetry Macular Sensitivity Loss in Patients with Stargardt Disease

Zhengfan Wang, UMASS-Amherst; Xiangrong Kong, Johns Hopkins University
9:45 AM On Powerful Exact Nonrandomized Tests for the Poisson Two-Sample Setting
Stefan Wellek, CIMH Mannheim/University of Heidelberg, Germany/University of Mainz, Germany
9:50 AM Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort

Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:55 AM Two-Way Partial AUC and Its Properties

Kun Lu, Princeton University; Hanfang Yang, Renmin University of China; Xiang Lv, University of California, Berkeley; Feifang Hu, George Washington University
10:00 AM Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE)

Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
10:05 AM Variance Estimation When Combining Inverse Probability Weighting and Multiple Imputation in Electronic Health Records-Based Research

Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
10:10 AM Bayesian Generalized Mixed-Effect Modeling of Conway-Maxwell Poisson Data

Morshed Alam, University of Nebraska Medical Center; Meza Jane, University of Nebraska Medical center; Yeongjin Gwon, University of Nebraska Medical Center
10:15 AM Floor Discussion