Population-averaged and cluster-specific models for clustered ordinal response data.

T R Ten Have; J R Landis; J Hartzel

doi:10.1002/(sici)1097-0258(19961215)15:23<2573::aid-sim389>3.0.co;2-o

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Population-averaged and cluster-specific models for clustered ordinal response data.

T R Ten Have·J R Landis·J Hartzel

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Abstract

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 regression models. A previously reported relationship between population-averaged and cluster-specific parameters for the binary logistic link appears to hold for analogous parameters under the cumulative logit link. We address these issues in the context of data from two cross-over clinical trials.

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Chi-Square Distribution Clinical Trials as Topic Cross-Over Studies Data Interpretation, Statistical Demography Dysmenorrhea Female Humans Likelihood Functions Linear Models Logistic Models Models, Statistical Nebulizers and Vaporizers Space-Time Clustering Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

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T R Ten Have, J R Landis, J Hartzel. 1996-12-15. Population-averaged and cluster-specific models for clustered ordinal response data.. https://doi.org/10.1002/(sici)1097-0258(19961215)15%3A23%3C2573%3A%3Aaid-sim389%3E3.0.co%3B2-o

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