Subject‐Specific and Population‐Averaged Continuation Ratio Logit Models for Multiple Discrete Time Survival Profiles

Thomas R. Ten Have and David H. Uttal

Journal of the Royal Statistical Society Series C, 1994, vol. 43, issue 2, 371-384

Abstract: Subject‐specific and population‐averaged continuation ratio logit models are presented for multivariate discrete time survival data. The models characterize data from a psychological experiment by using a quadratic polynomial relationship across time that depends on a time‐independent condition. A multivariate normal random effects distribution is imposed on intercept, linear and quadratic terms in the subject‐specific model, which is fitted by using a combination of Gibbs sampling and buffered stochastic substitution. Variance components that tend towards 0 are addressed in this context. In addition, generalized estimating equations estimates of the parameters in the population‐averaged model are compared with analogous estimates for the mixed effects model.

Date: 1994
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:43:y:1994:i:2:p:371-384

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