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A Dynamic Logistic Regression Model for Multiple Spell Failure Time Data

✍ Scribed by Prof. Dr. A. Hamerle

Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 526 KB
Volume: 30
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710300411

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✦ Synopsis

The paper deals with discrete-time regression models to analyze multistate-multiepisode failure time data. The covariate process may include fixed and external as well aa internal time dependent covarjates. The effects of the covariates may differ among different kinds of failures and among successive episodes. A dynamic form of the logistic regression model is investigated and maximum likelihood estimation of the regression coefficients is discussed. In the last section w e give an application of the model t~ the analysis of survival time after breast cancer operation.

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