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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

Publication Detail

Title: Conditional regression analysis of the exposure-disease odds ratio using known probability-of-exposure values.

Authors: Satten, G A; Kupper, L L

Published In Biometrics, (1993 Jun)

Abstract: Conditional inference methods are proposed for the odds ratio between binary exposure and disease variables when only the probability of exposure is known for each study subject. We develop a conditional likelihood approach that removes nuisance parameters and permits inferences to be made about important parameters in log odds ratio regression models. We also discuss a heuristic procedure based on estimating the (unknown) number of truly exposed individuals; this procedure provides a simple framework for interpreting our likelihood-based statistics, and leads to a Mantel-Haenszel-type estimator and a goodness-of-fit test. As an example of the use of this methodology, we present an analysis of some genetic data of Swift et al. (1976, Cancer Research 36, 209-215).

PubMed ID: 8369379 Exiting the NIEHS site

MeSH Terms: Adult; Aged; Epidemiologic Methods*; Genetic Diseases, Inborn/epidemiology; Humans; Mathematics; Middle Aged; Models, Statistical; Multivariate Analysis; Odds Ratio; Probability; Regression Analysis

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