Longitudinal Mixed Membership Trajectory Models for Disability Survey Data

The Annals of Applied Statistics
Daniel Manrique-Vallier

Abstract

We develop new methods for analyzing discrete multivariate longitudinal data and apply them to functional disability data on U.S. elderly population from the National Long Term Care Survey (NLTCS), 1982-2004. Our models build on a mixed membership framework, in which individuals are allowed multiple membership on a set of extreme profiles characterized by time-dependent trajectories of progression into disability. We also develop an extension that allows us to incorporate birth-cohort effects, in order to assess inter-generational changes. Applying these methods we find that most individuals follow trajectories that imply a late onset of disability, and that younger cohorts tend to develop disabilities at a later stage in life compared to their elders.

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Sep 1, 2015·The Annals of Applied Statistics·Daniel Manrique-Vallier

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Citations

Jul 4, 2020·Autism : the International Journal of Research and Practice·Vivian LeeStelios Georgiades
Apr 18, 2017·Journal of Child Psychology and Psychiatry, and Allied Disciplines·Stelios GeorgiadesThomas Frazier
Sep 1, 2015·The Annals of Applied Statistics·Daniel Manrique-Vallier

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