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A continuation ratio random effects model for repeated ordinal responses
Author(s) -
Dos Santos Dirley M.,
Berridge Damon M.
Publication year - 2000
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/1097-0258(20001230)19:24<3377::aid-sim526>3.0.co;2-e
Subject(s) - continuation , generalization , ordinal data , random effects model , parametric statistics , computer science , statistics , repeated measures design , parametric model , econometrics , mathematics , medicine , mathematical analysis , meta analysis , programming language
This paper presents methods of analysis for ordinal repeated measures. We use a generalization of the continuation ratio model with a random effect. We handle frailty by using a normal distribution and also a non‐parametric distribution. The methodology is readily implemented in existing software and flexible enough to treat large data sets with uncommon time measurements as well as different numbers of repeated measures for each individual. The models are used to investigate how a group of explanatory variables influences the overall condition of patients treated for breast cancer. Copyright © 2000 John Wiley & Sons, Ltd.