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

By Irini Moustaki and Fiona Steele

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

Topics: HA Statistics, QA Mathematics
Publisher: SAGE Publications
Year: 2005
DOI identifier: 10.1191/1471082X05st100oa
OAI identifier: oai:eprints.lse.ac.uk:5415
Provided by: LSE Research Online
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