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Interval Estimation of the Attributable Risk for Multiple Exposure Levels in Case-Control Studies

Daniel W. Denman, III and James J. Schlesselman
Biometrics
Vol. 39, No. 1 (Mar., 1983), pp. 185-192
DOI: 10.2307/2530818
Stable URL: http://www.jstor.org/stable/2530818
Page Count: 8
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Interval Estimation of the Attributable Risk for Multiple Exposure Levels in Case-Control Studies
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Abstract

In case-control studies, exposure to a risk factor often occurs at several levels, so the attributable risk at each level is of interest. In this paper, estimation for the 2 x 2 table (case-control status versus dichotomous exposure) and the 2 x k table (case-control status versus exposure at several levels) are reviewed along with an example. A method for finding confidence intervals for attributable risk in the 2 x k table is proposed, and its application to estimates adjusted across strata (the 2 x k x s case) is indicated. The results of a Monte Carlo study of the procedure demonstrate that the nominal and actual coverage probabilities agree satisfactorily for practical applications.

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