Mixed-Effects Location-Scale Models for Intensive Longitudinal Data

• Activity Number: 97 - Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee)
• Type: Roundtables
• Date/Time: Monday, August 9, 2021 : 12:00 PM to 1:20 PM
• Sponsor: Mental Health Statistics Section
• Author(s): Donald Hedeker*
• Companies: University of Chicago
• Keywords: variance modeling; ecological momentary assessment; mHealth studies

Abstract

Intensive longitudinal data are increasingly encountered in many research areas. For example, ecological momentary assessment (EMA) and/or mobile health (mHealth) methods are often used to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are usually obtained for each subject, allowing one to characterize a subject’s mean and variances (between-subjects and within-subjects) and specify models for all three. Such modeling can help to examine whether covariates have influence on the mean response, heterogeneity across subjects, and erraticism within subjects. In this roundtable, an adolescent smoking study using EMA will be described where interest is on characterizing changes in mood variation. Several examples will be presented, and a broader discussion will follow the presentation of the examples.