A modified partial likelihood score method for Cox regression with covariate error under the internal validation design

David M. Zucker*, Xin Zhou, Xiaomei Liao, Yi Li, Donna Spiegelman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We develop a new method for covariate error correction in the Cox survival regression model, given a modest sample of internal validation data. Unlike most previous methods for this setting, our method can handle covariate error of arbitrary form. Asymptotic properties of the estimator are derived. In a simulation study, the method was found to perform very well in terms of bias reduction and confidence interval coverage. The method is applied to data from the Health Professionals Follow-Up Study (HPFS) on the effect of diet on incidence of Type II diabetes.

Original languageAmerican English
Pages (from-to)414-427
Number of pages14
JournalBiometrics
Volume75
Issue number2
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 International Biometric Society

Keywords

  • Cox model
  • measurement error
  • modified score

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