JSM2023
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Contributed Papers

Latent Variables and Complex Data Types in Mental Health Research

Tue, Aug 8, 10:30 AM
Knashawn MoralesChair
Mental Health Statistics Section

7 Presentations

A Generalized Framework for Multiple Latent Class Variables
10:35 AM - 10:50 AM
Youngsun Kim
Co-authors: Hwan Chung (Korea University)
Constrained multivariate functional principal components analysis for eye-tracking experiments
10:50 AM - 11:05 AM
Brian Kwan (University of California-Los Angeles)
Co-authors: Catherine Sugar (University of California, Los Angeles), Damla Senturk (University of California-Los Angeles)
Flexible Bayesian Modeling for Longitudinal Binary Responses
11:05 AM - 11:20 AM
Jizhou Kang
Co-authors: Athanasios Kottas (University of California-Santa Cruz)
Individual estimation under latent confounding and effect modification in mobile health studies
11:20 AM - 11:35 AM
Charlotte Fowler
Co-authors: Xiaoxuan Cai (Columbia University), Justin Baker (Institute for Technology in Psychiatry, McLean Hospital, Harvard Medical School), Dost Ongur (Division of Psychotic Disorders, McLean Hospital, Harvard Medical School), Jukka-Pekka Onnela, Linda Valeri (Columbia University)
Prediction of changes in health status using smartphone and wearable device data
11:35 AM - 11:50 AM
Xinming An (UNC-Chapel Hill)
Co-authors: Yinyao Ji (UNC - Chapel Hill), Mochuan Liu (UNC-Chapel Hill), Qinghua Li (UNC-Chapel Hill), Donglin Zeng (University of North Carolina), Samuel McLean (UNC - Chapel Hill)
Jointly modeling multiple outcomes in pain studies using ecological momentary assessment.
11:50 AM - 12:05 PM
Carlos Samuels (New York University)
Co-authors: Thaddeus Tarpey (NYU)
Statistical methodology for analysis of multi-level mental health service data with zero inflation
12:05 PM - 12:20 PM
Avisek Datta
Co-authors: Dulal Bhaumik (University of Illinois At Chicago)

Session participants

Christine Mauro (Columbia University)
Participant
Adam Ciarleglio (George Washington University)
Participant
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