A new strategy for evaluating the impact of epidemiologic risk factors for cancer with application to melanoma

Colin B. Begg, Jaya M. Satagopan, Marianne Berwick

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

A new stochastic framework is proposed for evaluating the individual and collective impact of cancer risk factors, and is applied to data on the incidence of melanoma. It is demonstrated that the standardized incidence ratio of second primary melanoma can be used to estimate the total coefficient of variation in risk in the population, subject to some simplifying assumptions. The coefficient of variation estimated in this manner thus can be used as a benchmark against which to judge the contributions to this total variance of individual risk factors. A nonparametric estimator of the coefficient of variation attributable to a single risk factor on the basis of data from a case-control study is derived, and its statistical properties are examined using simulations. It is shown that the categorization of a continuous risk factor can attenuate the estimate substantially, and that estimation of the joint contribution of several risk factors will usually require statistical modeling. Applying the methods to the epidemiology of melanoma, the results indicate that the known risk factors for melanoma explain only a relatively small fraction of the population variation in risk, in contrast to conventional views on this topic.

Original languageEnglish (US)
Pages (from-to)415-426
Number of pages12
JournalJournal of the American Statistical Association
Volume93
Issue number442
DOIs
StatePublished - Jun 1 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Cancer incidence
  • Coefficient of variation
  • Empirical Bayes estimation
  • Relative risk
  • Standardized incidence ratio

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