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A class of markov models for longitudinal ordinal data.


ABSTRACT: Generalized linear models with serial dependence are often used for short longitudinal series. Heagerty (2002, Biometrics58, 342-351) has proposed marginalized transition models for the analysis of longitudinal binary data. In this article, we extend this work to accommodate longitudinal ordinal data. Fisher-scoring algorithms are developed for estimation. Methods are illustrated on quality-of-life data from a recent colorectal cancer clinical trial.

SUBMITTER: Lee K 

PROVIDER: S-EPMC2766273 | biostudies-literature | 2007 Dec

REPOSITORIES: biostudies-literature

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A class of markov models for longitudinal ordinal data.

Lee Keunbaik K   Daniels Michael J MJ  

Biometrics 20071201 4


Generalized linear models with serial dependence are often used for short longitudinal series. Heagerty (2002, Biometrics58, 342-351) has proposed marginalized transition models for the analysis of longitudinal binary data. In this article, we extend this work to accommodate longitudinal ordinal data. Fisher-scoring algorithms are developed for estimation. Methods are illustrated on quality-of-life data from a recent colorectal cancer clinical trial. ...[more]

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