Online Program Home
My Program

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

Activity Details

361 Tue, 7/30/2019, 11:35 AM - 12:20 PM CC-Hall C
SPEED: Biometrics - Methods and Application, Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Bayesian Statistical Science
Chair(s): Katherine E Irimata, National Center for Health Statistics
Oral Presentations for this session.
1: 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
2: 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
3: Analyzing Pre-Post Randomized Studies with One Post-Randomization Score Using Repeated Measures and ANCOVA Models
Fei Wan, University of Arkansas for Medical Sciences
4: Spectral Parameterization, Diagnostics, and Remedies for Confounding of Fixed Effects by Random Effects
Patrick Schnell, Ohio State University; Maitreyee Bose, Amgen
5: 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
7: SignNets: Fine Tuning Gene-Gene Similarity Metrics in Biological Systems
Crystal Shaw, UCLA; Vinayagam Arunachalam, Pfizer, Inc.; Jadwiga R Bienkowska, Pfizer, Inc.
8: 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: Is it ‘random’ or ‘haphazard’? Demonstrating Effects of Nonrandom Allocation by Simulation
Penny Reynolds, University of Florida College of Medicine
10: Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time
Sanhita Sengupta, University of Minnesota
11: Item Response Theory Models for Survival Analysis and the Detection of Treatment Efficacy
Charlie Iaconangelo, Pharmerit International
12: 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
13: Multivariate Longitudinal Data from Eyes - Microperimetry Macular Sensitivity Loss in Patients with Stargardt Disease
Zhengfan Wang, UMASS-Amherst; Xiangrong Kong, Johns Hopkins University
14: On Powerful Exact Nonrandomized Tests for the Poisson Two-Sample Setting
Stefan Wellek, CIMH Mannheim/University of Heidelberg, Germany/University of Mainz, Germany
15: 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
16: 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
17: 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
18: 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
19: 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