Topic-Contributed Paper Session

Recent Advances in Modeling Multivariate Longitudinal/correlated Outcomes and their Application to Biomedical Research.

Mon, Aug 4, 10:30 AM - 12:20 PM Room CC-209A Music City Center

Biometrics Section co: Section on Statistics in Epidemiologyco: Committee on Applied Statisticians Applied

4 Presentations

A pattern-mixture model for MNAR missing values in longitudinal categorical data: application to physical health and function trajectories in adults with cancer

10:35 AM - 10:55 AM

Jung Wun Lee (Boston University)

Latent class analysis Missing not at random EM algorithm Longitudinal data Cancer resilience

Assessment of Wiener Process Degradation Models with Application to Amyotrophic Lateral Sclerosis Decline

10:55 AM - 11:15 AM

Matt Scott (Boston University)

Co-authors: Oleksandr Sverdlov (Novartis Pharmaceuticals Corporation), Kendra Plourde (Yale University), Yorghos Tripodis (Boston University)

Joint Modeling of Multiple Gaussian Longitudinal Outcomes using Multivariate Generalized Linear Mixed Models (mGLMM)

11:15 AM - 11:35 AM

Mulugeta Gebregziabher (Medical University of South Carolina)

Co-authors: Mulugeta Gebregziabher (Medical University of South Carolina), AKASH ROY (MEDICAL UNIVERSITY OF SOUTH CAROLINA), Yao Xin (Department of Public Health Sciences at Medical University of South Carolina)

Modeling Longitudinal Data with Multivariate GLMMs: A Skew Normal Approach

11:35 AM - 11:55 AM

AKASH ROY (MEDICAL UNIVERSITY OF SOUTH CAROLINA)