Statistical methods for analysis of radiation effects with tumor and dose location-specific information with application to the wecare study of asynchronous contralateral breast cancer

Bryan Langholz, Duncan C. Thomas, Marilyn Stovall, Susan A. Smith, John D. Boice, Roy E. Shore, Leslie Bernstein, Charles F. Lynch, Xinbo Zhang, Jonine L. Bernstein

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

Methods for the analysis of individually matched case-control studies with location-specific radiation dose and tumor location information are described. These include likelihood methods for analyses that just use cases with precise location of tumor information and methods that also include cases with imprecise tumor location information. The theory establishes that each of these likelihood based methods estimates the same radiation rate ratio parameters, within the context of the appropriate model for location and subject level covariate effects. The underlying assumptions are characterized and the potential strengths and limitations of each method are described. The methods are illustrated and compared using the WECARE study of radiation and asynchronous contralateral breast cancer.

Original languageEnglish (US)
Pages (from-to)599-608
Number of pages10
JournalBiometrics
Volume65
Issue number2
DOIs
Publication statusPublished - Jun 2009
Externally publishedYes

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Keywords

  • Case-control studies
  • Conditional likelihood
  • Counter-matching
  • Counting processes
  • Measurement error
  • Multivariate survival data
  • Partial likelihood
  • Radiation epidemiology

ASJC Scopus subject areas

  • Applied Mathematics
  • Statistics and Probability
  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Medicine(all)

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