# Longitudinal Mixed Membership trajectory models for disability survey data

arXiv: https://arxiv.org/abs/1309.2324 · HTML: https://mlsanity.com/paper/1309.2324/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Sep 2013.

## Built on by (most cited first, 1 of 1)

- [MMM: Clustering Multivariate Longitudinal Mixed-type Data](https://mlsanity.com/paper/2509.12166/) (2025)

## Abstract (arXiv)

We develop methods for analyzing discrete multivariate longitudinal data and apply them to functional disability data on the 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.