Journal
BIOMETRICS
Volume 75, Issue 2, Pages 414-427Publisher
WILEY
DOI: 10.1111/biom.13012
Keywords
Cox model; measurement error; modified score
Funding
- NCATS NIH HHS [UL1 TR001863] Funding Source: Medline
- NCI NIH HHS [U01 CA209414] Funding Source: Medline
- NIA NIH HHS [R21 AG058198, R01 AG056764] Funding Source: Medline
- NIOSH CDC HHS [T42 OH008416] Funding Source: Medline
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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.
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