Anamorphic analysis: sampling and estimation for covariate effects when both exposure and disease are known

Biometrics. 1982 Dec;38(4):1025-32.

Abstract

When study subjects are obtained through sampling procedures based on the level of known characteristics, covariate data can be used to adjust effect estimates. This principle, which is well-understood for both exposure-based sampling (cohort studies) and disease-based sampling (case-control studies), can also be applied to cross-classifications of the source population. An opportunity for exposure--disease-based sampling arises whenever data on exposure and disease are both available on a group of subjects who are incompletely characterized in terms of other covariates. This is a common intermediate stage in epidemiologic studies of many kinds.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Dyspnea / epidemiology
  • Dyspnea / etiology
  • Environmental Exposure
  • Humans
  • Myocardial Infarction / epidemiology
  • Sampling Studies
  • Smoking
  • Statistics as Topic*
  • Vasectomy