TY - JOUR
AU1 - Have, Thomas R. Ten
AU2 - Uttal, David H.
AB - 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.
TI - Subject‐Specific and Population‐Averaged Continuation Ratio Logit Models for Multiple Discrete Time Survival Profiles
JF - Journal of the Royal Statistical Society Series C (Applied Statistics)
DO - 10.2307/2986027
DA - 1994-06-01
UR - https://www.deepdyve.com/lp/oxford-university-press/subject-specific-and-population-averaged-continuation-ratio-logit-sPBbs8y1Hi
SP - 371
EP - 384
VL - 43
IS - 2
DP - DeepDyve
ER -