A comparative study of two statistical models for the analysis of binary data from longitudinal studies.

This study extensively compares two statistical models for the analysis of binary data from longitudinal studies. The first model was proposed by Zeger, Liang, and Self, which was abbreviated as ZLS model and another model was proposed by Origasa. The comparison focuses on both analytical and statis...

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Detalles Bibliográficos
Autores principales: Origasa, H, Knoke, J D
Formato: Texto
Lenguaje:English
Publicado: 1990
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1567826/
https://www.ncbi.nlm.nih.gov/pubmed/2269219
Descripción
Sumario:This study extensively compares two statistical models for the analysis of binary data from longitudinal studies. The first model was proposed by Zeger, Liang, and Self, which was abbreviated as ZLS model and another model was proposed by Origasa. The comparison focuses on both analytical and statistical view-points. The first discusses a type of the models and the second evaluates the effect from model misspecification by stimulation, assuming that the ZLS model is true.

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