JSM2024
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Contributed Papers

Advances in Modern Longitudinal Data Analysis and Applications

Thu, Aug 8, 10:30 AM - 12:20 PM
Nikki FreemanChair
Biometrics Section

6 Presentations

A Joint Normal-Ordinal(Probit) Model for Ordinal and Continuous Longitudinal Data
10:35 AM - 10:50 AM
Margaux Delporte (Weill Cornell)
Co-authors: Geert Molenberghs (Universiteit Hasselt & Katholieke Universiteit Leuven), Steffen Fieuws (Biostatistical Centre), Geert Verbeke (I-Biostat)
Associating Longitudinal Trajectory as a Covariate to Longitudinal Outcomes via a Joint Model
10:50 AM - 11:05 AM
Yuen Tsz Abby Lau
Co-authors: Sharon Xie (University of Pennsylvania, Perelman School of Medicine)
Dynamic Latent Factor Models To Infer Dietary Patterns From Longitudinal Nutrition Survey Data
11:05 AM - 11:20 AM
Daniel Schwartz (Harvard T.H. Chan School of Public Health)
Co-authors: Briana Stephenson (Harvard T.H. Chan School of Public Health), Xihong Lin (Harvard T.H. Chan School of Public Health)
Extensions of PROLONG: Penalized Regression On Longitudinal Multi-Omics Data with Network and Group
11:20 AM - 11:35 AM
Steven Broll (Cornell University)
Co-authors: Sumanta Basu (Cornell University), Myung Hee Lee (Weill Cornell Medicine), Martin Wells (Cornell University)
Imputing Censored Covariates in Longitudinal Models of Huntington Disease Progression
11:35 AM - 11:50 AM
Kyle Grosser (University of North Carolina)
Co-authors: Tanya Garcia, Sarah Lotspeich (Wake Forest University)
Supervised Fusion Learning of Physical Activity Features: Longitudinal Functional Accelerometer Data
11:50 AM - 12:05 PM
Margaret Banker (University of Michigan)
Co-authors: Peter Song (University of Michigan)
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