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

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.

SUBMITTER: Zucker DM

PROVIDER: S-EPMC6555694 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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

Zucker David M DM Zhou Xin X Liao Xiaomei X Li Yi Y Spiegelman Donna D

Biometrics 20190413 2

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 Stud ...[more]

PMID: 30525191

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