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

Details

• Personal Author:
  Li Y ; Liao X ; Spiegelman D ; Zhou X ; Zucker DM
• 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. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Author Keywords: Cox Model Biostatistics Blood Sugar Disorders Measurement Error Models Modified Score Statistical Analysis Statistical Quality Control
• ISSN:
  0006-341X
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Connecticut ; Illinois ; Massachusetts ; Michigan ; OSHA Region 1 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  414-427
• Volume:
  75
• Issue:
  2
• NIOSHTIC Number:
  nn:20055557
• Citation:
  Biometrics 2019 Jun; 75(2):414-427
• Contact Point Address:
  David M. Zucker, Department of Statistics, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905, Israel
• Email:
  david.zucker@mail.huji.ac.il
• Federal Fiscal Year:
  2019
• Performing Organization:
  Harvard School of Public Health
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Biometrics
• End Date:
  20280630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:9f76e9fadea61892e93ce4db8adaa92de7ca06a2c76ad47e34439242bc2d81ec2ad20a834562bb3f12ebc1b229df3b76070bfb06c6ebe7ecdeb7defcefdc2fe8
• Download URL:
  https://stacks.cdc.gov/view/cdc/213382/cdc_213382_DS1.pdf
• File Type:
  [PDF - 162.50 KB ]