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) |
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Pages (from-to) | 69-82 |
Number of pages | 14 |
Journal | Psychometrika |
Volume | 64 |
Issue number | 1 |
DOIs | |
State | Published - Mar 1999 |
Externally published | Yes |
Keywords
- Frailty
- Latent variable
- Metropolis-hastings algorithm
- Survival analysis
ASJC Scopus subject areas
- Mathematics (miscellaneous)
- General Psychology
- Psychology (miscellaneous)
- Social Sciences (miscellaneous)