Contributed Papers

Latest Research in Random Effects and Mixed Modeling

Thu, Aug 7, 10:30 AM - 12:20 PM Room CC-103A Music City Center

Wenhao LiChair

Biometrics Section

About this session

In this session, latest research statistical and learning methods in random effects and mixed modeling will be presented in various areas of research and studies.

4 Presentations

A Beta-Binomial Model for Analyzing Zero- or One-Inflated Pain Trajectories

10:35 AM - 10:50 AM

Co-authors: Yanxi Liu (Johns Hopkins University), Martin Lindquist (Johns Hopkins University), Yanxi Liu (Johns Hopkins University), Andrew Leroux (Department of Biostatistics & Informatics, University of Colorado, Denver, CO)

Chronic Pain Beta-Binomial Zero Inflation Bayesian Trajectory EMA

Bayesian Conditional Independence Testing Using Pivotal Quantities

10:50 AM - 11:05 AM

Co-authors: Minjee Kim (Texas A&M University), Valen Johnson (Texas A&M University), Minjee Kim (Texas A&M University)

Conditional independence Bayesian Pivotal quantities Latent variables Chi-Squared Test

Covariate-Informed Identification of Heterogeneity and Outliers in Longitudinal Data

11:05 AM - 11:20 AM

Co-authors: Anish Mukherjee (University of Louisville), Jeremy Gaskins (University of Louisville), Jeremy Gaskins (University of Louisville)

longitudinal data outliers Bayesian

Federated generalized linear mixed model based on one-time shared summary statistics

11:20 AM - 11:50 AM

Co-authors: Marie Analiz April Limpoco (Hasselt University), Christel Faes (Hasselt University), Marie Analiz April Limpoco (Hasselt University), Niel Hens (Hasselt University), Niel Hens (Antwerp University)

federated learning mixed effects models data privacy pseudo-data aggregate data statistical sufficiency