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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

Publication Detail

Title: Analysis of proportionate mortality data using logistic regression models.

Authors: Robins, J M; Blevins, D

Published In Am J Epidemiol, (1987 Mar)

Abstract: When only proportionate mortality data are available to an investigator studying the effect of an exposure on a particular cause of death, controls must be selected from among persons dying of other causes believed to be uninfluenced by the exposure under study. When qualitative or quantitative estimates of exposure history can be obtained for the deceased individuals, it is shown that one can use logistic regression models for the mortality odds to efficiently estimate the effect of exposure while controlling for relevant confounding factors by incorporating a priori information on baseline mortality rates available from US life tables. The proposed method is used to reanalyze data from a cohort of arsenic-exposed workers in a Montana copper smelter.

PubMed ID: 3812459 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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