A latent variable model for discrete multivariate psychometric waiting times

Jeffrey A. Douglas; Michael R. Kosorok; Betty A. Chewning

doi:10.1007/BF02294320

A latent variable model for discrete multivariate psychometric waiting times

Jeffrey A. Douglas, Michael R. Kosorok, Betty A. Chewning

Research output: Contribution to journal › Article › peer-review

Abstract

A version of the discrete proportional hazards model is developed for psychometrical applications. In such applications, a primary covariate that influences failure times is a latent variable representing a psychological construct. The Metropolis-Hastings algorithm is studied as a method for performing marginal likelihood inference on the item parameters. The model is illustrated with a real data example that relates the age at which teenagers first experience various substances to the latent ability to avoid the onset of such behaviors.

Original language	English (US)
Pages (from-to)	69-82
Number of pages	14
Journal	Psychometrika
Volume	64
Issue number	1
DOIs	https://doi.org/10.1007/BF02294320
State	Published - Mar 1999
Externally published	Yes

Keywords

Frailty
Latent variable
Metropolis-hastings algorithm
Survival analysis

ASJC Scopus subject areas

Mathematics (miscellaneous)
Psychology(all)
Psychology (miscellaneous)
Social Sciences (miscellaneous)

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10.1007/BF02294320

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KW - Survival analysis

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A latent variable model for discrete multivariate psychometric waiting times

Abstract

Keywords

ASJC Scopus subject areas

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