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

DOI10.1191/1471082X05st100oazbMath1092.62103MaRDI QIDQ5476223

Fiona Steele, Irini Moustaki

Publication date: 14 July 2006

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

survival analysismixed response datastructural equation modelling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Mathematical geography and demography (91D20)

Related Items (6)

A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies ⋮ Some Remarks on Latent Variable Models in Categorical Data Analysis ⋮ A Bayesian semiparametric latent variable model for mixed responses ⋮ Efficient Estimation for Semiparametric Structural Equation Models With Censored Data ⋮ Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models ⋮ Modelling shelter choices in a class of mixture models for ordinal responses

Uses Software

• Stata
• GLLAMM

Cites Work

• Full maximum likelihood analysis of structural equation models with polytomous variables
• On the estimation of polychoric correlations and their asymptotic covariance matrix
• Generalized latent trait models
• Joint Analysis of Time‐to‐Event and Multiple Binary Indicators of Latent Classes
• Estimation of Generalized Linear Latent Variable Models

This page was built for publication: Latent variable models for mixed categorical and survival responses, with an application to fertility preferences and family planning in Bangladesh