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REGRESSION MODELS FOR RECURRENT EVENT DATA: PARAMETRIC RANDOM EFFECTS MODELS WITH MEASUREMENT ERROR

✍ Scribed by BRUCE W. TURNBULL; WENXIN JIANG; LARRY C. CLARK

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
311 KB
Volume
16
Category
Article
ISSN
0277-6715

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✦ Synopsis

Statistical methodology is presented for the statistical analysis of non-linear measurement error models. Our approach is to provide adjustments for the usual maximum likelihood estimators, their standard errors and associated significance tests in order to account for the presence of measurement error in some of the covariates. We illustrate the technique with a mixed effects Poisson regression model for recurrent event data applied to a randomized clinical trial for the prevention of skin tumours.

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