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554 Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-155
Novel Methods in Longitudinal Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Glen McGee, University of Waterloo
10:35 AM Informative Models for the Joint Distribution of a Vector from Its Marginal Distributions
Marepalli B Rao, University of Cincinnati; Rigwed B Tatu, Cincinnati Children Hospital; Koffi B Wima, University of Cincinnati; Karthikeyan B Meganathan, University of Cincinnati; Tianyuan Guan, Kent State University
10:50 AM Investigation of Time Trajectories of Immune Infiltration Using the Functional Principal Component Analysis by Conditional Estimation Algorithm
Minya Pu, Moores Cancer Center, University of California, San Diego; Xinlian Zhang, University of California, San Diego; Jingjing Zou, University of California at San Diego (UCSD); Karen Messer, University of California, San Diego
11:05 AM Generalized Mixed Model in Multi-Domain Alzheimer’s Disease Progression Modeling Using ADNI Multi-Domain Longitudinal Data
Clarissa Sun, The University of North Carolina at Chapel Hill
11:20 AM Marginal Structural Models for Multinomial-Choice Outcomes with Irregularly Spaced Observations
Taekwon Hong, North Carolina State University; Shu Yang, North Carolina State University; Wenbin Lu, North Carolina State University; Pulak Ghosh, Indian Institute of Management Bangalore
11:35 AM Unified Inferences for Sparse and Dense Longitudinal Models with Irregular Time AR Error Process
Yan Fang, Shanghai University of International Business and Economics; Yin Hang, Guangdong University of Finance; Jinhong You, Shanghai University of Finance and Economics
11:50 AM Random Effects Expectation-Maximization (RE-EM) Tree: An Application to the Early Childhood Growth Data
Fatima Boukari, Delaware State University; Jobayer Hossain, Nemours Children's Health
12:05 PM Cluster Analysis of Longitudinal Profiles for Compositional Count Data to Study the Competition-Colonization Trade-Off in Ecology
Chenyang Duan, Oregon State University ; Yuan Jiang, Oregon State University