Latent variable models for mixed categorical and survival responses, with an application to fertility preferences and family planning in Bangladesh

I Moustaki, FA Steele

Research output: Contribution to journalArticle (Academic Journal)

12 Citations (Scopus)

Abstract

In this article, we discuss a latent variable model with continuous latent variables for manifest variables that are a mixture of categorical and survival outcomes. Models for censored and uncensored survival data are discussed. The model allows for covariate effects both on the manifest variables (direct effects) and on the latent variable(s) (indirect effects). The methodological developments are motivated by a demographic application: an exploration of women’s fertility preferences and family planning behaviour in Bangladesh.
Translated title of the contributionLatent variable models for mixed categorical and survival responses, with an application to fertility preferences and family planning in Bangladesh
Original languageEnglish
Pages (from-to)327 - 342
Number of pages16
JournalStatistical Modelling
Volume5 (4)
DOIs
Publication statusPublished - 1 Dec 2005

Bibliographical note

Publisher: SAGE Publications

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