A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design

Details

• Alternative Title:
  Biometrics
• Personal Author:
  Zucker, David M. ; Zhou, Xin ; Liao, Xiaomei ; Li, Yi ; Spiegelman, Donna
• Description:
  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.
• Subjects:
  Bias Computer Simulation Confidence Intervals Diabetes Mellitus, Type 2 Diet Humans Incidence Likelihood Functions Proportional Hazards Models Regression Analysis Reproducibility Of Results Research Design

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• Keywords:
  Cox Model Measurement Error Modified Score
• Source:
  Biometrics. 75(2):414-427
• Pubmed ID:
  30525191
• Pubmed Central ID:
  PMC6555694
• Document Type:
  Journal Article
• Funding:
  R21 AG058198/AG/NIA NIH HHSUnited States/ ; T42 OH008416/OH/NIOSH CDC HHSUnited States/ ; UL1 TR001863/TR/NCATS NIH HHSUnited States/ ; R01 AG056764/AG/NIA NIH HHSUnited States/ ; U01 CA209414/CA/NCI NIH HHSUnited States/
• Volume:
  75
• Issue:
  2
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:2f92a1a665602daad4f863bf36a3c643f0d08d1714b0ee23cf128f7b35da3531268f7518cb33b56a66b7d3a3d18658e05ec4a913b8b2a8c4e1e89b7dbb73155c
• Download URL:
  https://stacks.cdc.gov/view/cdc/78925/cdc_78925_DS1.pdf
• File Type:
  [PDF - 535.87 KB ]