Alternative variance and efficiency calculations for the case-cohort design

Sholom Wacholder, Mitchell H. Gail, David Pee, Ron Brookmeyer

Research output: Contribution to journalArticlepeer-review

Abstract

We define a bootstrap sampling plan for the case-cohort design and present bootstrap variance estimates and confidence intervals for the log relative hazard. The coverages of these confidence intervals are found to be near nominal levels in simulations. A simple null variance calculation, based on a superpopulation model, is shown to provide good estimates of the power and efficiency of the case-cohort design.

Original languageEnglish (US)
Pages (from-to)117-123
Number of pages7
JournalBiometrika
Volume76
Issue number1
DOIs
StatePublished - Mar 1 1989

Keywords

  • Bootstrap
  • Cohort study
  • Epidemiologic study
  • Proportional hazards model

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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