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Some properties of the sample estimator of attributable risk λ, defined here as the proportion of all cases of disease which may be attributed to a risk factor, are considered for the case-control study situation. It is shown that log (1 −λ^) may be expressed in terms of the prevalences of the factor in cases and healthy controls, that the bias of the estimator is minimized when ½ is added to the cell frequencies corresponding to nonexposed persons in the usual 2 × 2 contingency table, and that the distribution of 1−λ^ is asymptotically log normal. Examples of the calculations, and a discussion of the results, are given for a number of risk factors for childhood leukemia.
Stephen D. Walter (Fri,) studied this question.
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