Contributed Poster Presentations: Biometrics Section -- JSM 2023

01 A distribution-free method to analyze count outcomes under heterogeneous data conditions using GEE

Co-authors: Dateng Li (121 Westmoreland Ave., White Plains, NY), David Huh (University of Washington), Minge Xie (Rutgers, The State University of NJ), Eun-Young Mun (University of North Texas Health Science)

02 A hierarchical discrete time model for clustered semi-continuous data subject to mortality

Jonathan Luu

03 A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Tissue Microscopy Images

Alvin Sheng (North Carolina State University)

Co-authors: Brian Reich (North Carolina State University), Ana-Maria Staicu (North Carolina State University)

05 Analyzing Trends in Diversity in Dermatology: A Case Study

Michael Mayo

Co-authors: Isuru Ratnayake (Kansas University Medical Center), Jo Wick (University of Kansas Medical Center)

06 Assessing predictive accuracy of survival models in the presence of competing risks

Asanao Shimokawa

Co-authors: Etsuo Miyaoka (Tokyo University of Science)

07 Challenges in Estimation of Variable Importance using Tree-Based Ensembles and Beyond

Thomas Jemielita

Co-authors: Andy Liaw (Merck & Co., Inc.), Vladimir Svetnik (Merck & Co., Inc.), Annie Liang (Princeton University), Peter Tian (Princeton University), Jason Klusowski (Princeton University), Richard Baumgartner (Merck Research Laboratories)

08 Constructing a T-test for Value Function Comparison of Dynamic Treatment Regimes

Minxin Lu

Co-authors: Annie Green Howard (University of North Carolina at Chapel Hill), Penny Gordon-Larsen (University of North Carolina at Chapel Hill), Katie Meyer (University of North Carolina at Chapel Hill), Hsiao-Chuan Tien (UNC-Chapel Hill), Shufa Du (University of North Carolina at Chapel Hill), Huijun Wang (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention), Bing Zhang (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention), Michael Kosorok (University of North Carolina at Chapel Hill)

09 Cox Proportional Hazards Model Estimation when there are Unobserved Covariates

Shunichiro Orihara (Tokyo Medical University)

Co-authors: Masataka Taguri (Tokyo Medical University)

10 Fast Variable Selection for Distributional Regression, with Application to CGM Data

Alexander Coulter (Texas A&M University)

Co-authors: Irina Gaynanova (Texas A&M University)

11 Flexible splines modeling of absolute risk differences in survival analysis

Michael G Palazzolo (Brigham and Women's Hospital)

Co-authors: Giorgio EM Melloni (Harvard Medical School), Jeong-Gun Park (Brigham & Womens Hospital / Harvard Medical School), Sabina Murphy (Brigham and Women's Hospital), Andrea Bellavia

12 Landmark random forests for competing risks prediction in heart transplant

Grace Lyden (Hennepin Healthcare Research Institute)

Co-authors: Monica Colvin (University of Michigan), Cory Schaffhausen (Hennepin Healthcare Research Institute), David Zaun (Hennepin Healthcare Research Institute), Allyson Hart (Hennepin Healthcare Research Institute)

13 Locally sparse varying coefficient mixed model for longitudinal differential abundance analysis

Simon Fontaine (University of Michigan)

Co-authors: Marcell Costa de Medeiros (University of Michigan), Nisha J D'Silva (University of Michigan), Gen Li (University of Michigan), Ji Zhu (University of Michigan)

14 Method for Evaluating the Probability Functions in Some Contagious Distributions

Ranee Thiagarajah (Illinois State University)

15 Model-based clustering of high-dimensional longitudinal data via regularization

Luoying Yang

Co-authors: Tongtong Wu (University of Rochester)

16 Multiple testing adjustment in discovery and replication cohort studies

Su Chen (University of Nebraska Medical Center)

17 Performance of a semiparametric generalized linear model in selected analysis setting

Rimli Sengupta (University of Texas At Austin)

Co-authors: Paul Rathouz (University of Texas at Austin, Dell Medical School)

18 RANDOM EFFECTS LOGISTIC REGRESSION MODELS FOR TIME-DEPENDENT COVARIATES

Lori Selby (Arizona State University)