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A simple approach for fitting linear relative rate models in SAS.
Am J Epidemiol 2008 Dec; 168(11):1333-1338
The linear relative rate model has been employed in epidemiologic analyses of a variety of environmental and occupational exposures. In contrast to an exponential rate model, the linear relative rate model implies that the excess relative rate of disease changes in an additive fashion with exposure. The linear relative rate model may be fitted using EPICURE (HiroSoft International Corporation, Seattle, Washington), a specialized statistical software package widely used for such analyses. In this paper, the author presents a simple approach to fitting the linear relative rate model to epidemiologic data using PROC NLMIXED in the SAS statistical software package (SAS Institute Inc., Cary, North Carolina). This approach is illustrated via analyses of data from a study of mortality in a cohort of South Carolina asbestos textile workers (1940-2001).
Risk-factors; Risk-analysis; Occupational-diseases; Occupational-exposure; Models; Mathematical-models; Statistical-analysis; Author Keywords: cohort analysis; dose-response function; epidemiologic methods; linear trend; models; statistical; Poisson regression; software
David B. Richardson, University of North Carolina at Chapel Hill, School of Public Health, CB 7435, Chapel Hill, NC 27599
Issue of Publication
American Journal of Epidemiology
University of North Carolina, Chapel Hill
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division