(1994). Subject-specific and population-averaged continuation ratio logit models for multiple discrete time survival profiles, Applied Statistics 43, 371-384.T. R. Ten Have and D. H. Uttal. Subject-specific and population-averaged continuation ratio logit models for multiple discrete time survival...
Syntax Options for PA model Methods and formulas Quick start Options for RE model Remarks and examples References Menu Options for FE model Stored results Also see Description xtlogit fits random-effects, conditional fixed-effects, and population-averaged logit models for a binary dependent variable. ...
Subject-specific and population-averaged continuation ratio logit models for multiple discrete time survival profiles. : Ten Have T.R., Uttal D.H., Pennsylvania State University, Hershey, USA, University of Illinois, Urbana, USA, Journal of the Royal Statistical Society: Applied Statistics, Vol....
We compare population-averaged and cluster-specific models for clustered ordinal data. We consider generalized estimating equations and constrained equations maximum likelihood estimation of population-averaged cumulative logit regression models, and mixed effects estimation of cluster-specific cumulative logit re...
Syntax Options for PA model Methods and formulas Quick start Options for RE model Remarks and examples References Menu Options for FE model Stored results Also see Description xtlogit fits random-effects, conditional fixed-effects, and population-averaged logit models for a binary dependent variable. ...
[XT] xtgee — GEE population-averaged panel-data models [XT] xtlogit — Fixed-effects, random-effects, and population-averaged logit models [XT] xtset — Declare data to be panel data [BAYES] bayes: xtprobit — Bayesian random-effects probit model [ME] meprobit — Multilevel mixed-effects...
[XT] xtlogit — Fixed-effects, random-effects, and population-averaged logit models [XT] xtprobit — Random-effects and population-averaged probit models [XT] xtset — Declare data to be panel data [ME] mecloglog — Multilevel mixed-effects complementary log–log regression [MI] Estimation —...