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

Moustaki, Irini ORCID: 0000-0001-8371-1251 and Steele, Fiona ORCID: 0000-0001-6417-7444 (2005) Latent variable models for mixed categorical and survival responses with an application to fertility preferences and family planning in Bangladesh. Statistical Modelling, 5 (4). pp. 327-342. ISSN 1471-082X

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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.

Item Type:	Article
Official URL:	http://smj.sagepub.com/
Additional Information:	© 2005 SAGE Publications
Divisions:	Statistics
Subjects:	H Social Sciences > HA Statistics Q Science > QA Mathematics
Date Deposited:	23 Jun 2008 16:06
Last Modified:	11 Dec 2024 22:57
URI:	http://eprints.lse.ac.uk/id/eprint/5415

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