Longitudinal Mixed Membership Trajectory Models for Disability Survey Data.
@article{ManriqueVallier2013LongitudinalMM, title={Longitudinal Mixed Membership Trajectory Models for Disability Survey Data.}, author={Daniel Manrique-Vallier}, journal={The annals of applied statistics}, year={2013}, volume={8 4}, pages={ 2268-2291 } }
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…
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References
SHOWING 1-10 OF 42 REFERENCES
DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA.
- MedicineThe annals of applied statistics
- 2007
This work considers an extract of functional disability data from the National Long Term Care Survey (NLTCS) and attempts to develop disability profiles using variations of the Grade of Membership (GoM) model, proving the equivalence between individual-level and population-level mixture models.
Trajectories of Morbidity, Disability, and Mortality among the U.S. Elderly Population
- Psychology
- 2007
Abstract This article employs a longitudinal form of the Grade of Membership (GoM) model to specify and estimate a multivariate model of the trajectories of morbidity, disability, and mortality among…
Multivariate mixture models to describe longitudinal patterns of frailty in American seniors
- Psychology
- 2006
Large, longitudinal, multivariate population surveys are increasingly common. Many analytic methods inspect changing rates of individual outcomes but ignore heterogeneous subpopulations that may…
Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims.
- PsychologyStatistical science : a review journal of the Institute of Mathematical Statistics
- 2009
It is demonstrated how these analysis approaches arise from factorizations of the distribution of longitudinal data and survival information, and which method of accommodating deaths is consistent with research aims, and use analysis methods accordingly.
Towards a Restructuring of the National Long Term Care Survey: A Longitudinal Perspective
- Medicine
- 2006
Because by design the NLTCS does not unequivocally provide measurements of chronic disability but rather of some combinations of chronic and short-term disability episodes, this issue was addressed by providing suggestions for future longitudinal disability surveys.
Directly parameterized regression conditioning on being alive: analysis of longitudinal data truncated by deaths.
- PsychologyBiostatistics
- 2005
A taxonomy for accommodation of both dropout and death is developed, estimation for binary longitudinal data that applies selection weights to estimating equations with independence working correlation is described, and it is shown that naive use of standard likelihood-based longitudinal methods and generalized estimation equations with non-independence weights may lead to biased estimation of the partly conditional mean model.
Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling
- Sociology
- 2008
The main goals of this article are to contribute to the discussion about different modeling techniques for analyzing data from a life-course perspective and to provide a concrete step-by-step illustration of such an analysis and model checking.
Progressive versus catastrophic disability: a longitudinal view of the disablement process.
- Medicine, PhilosophyThe journals of gerontology. Series A, Biological sciences and medical sciences
- 1996
Tracking the development of disability provides new and important insights into the disability experience in older men and women that are potentially relevant in planning preventive, intervention, and long-term care strategies.
Analyzing developmental trajectories: A semiparametric, group-based approach
- Psychology
- 1999
Agroup-based method for identifying distinctive groups of individual trajectories within the population and for profiling the characteristics of group members is demonstrated.
Grade of membership and latent structure models with application to disability survey data
- Computer Science
- 2002
This work examines a relatively new latent structure model, the Grade of Membership (GoM) model, integrating the GoM language and ideas with more standard statistical literature on latent variable models, and presents a general class of mixed membership models that unifies the latent structure of theGoM model and two other mixed Membership models that recently appeared in the genetics and the machine learning literatures.