Regression models for recurrent event data: Parametric random effects models with measurement error

Bruce W. Turnbull*, Wenxin Jiang, Larry C. Clark

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)853-864
Number of pages12
JournalStatistics in Medicine
Volume16
Issue number8
DOIs
StatePublished - Apr 30 1997

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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