AbstractIn case control studies when the relative risk is very high the expected frequencies of diseased but not exposed and non‐diseased but exposed are generally very low. In such situations inverse sampling can be used. This paper presents the relevant theory of inverse sampling in case control studies. The expressions for bias and Mean Square Error (MSE) have been derived. It has been observed that the estimator under inverse sampling is unbiased and more efficient as compared to the estimator under usual case control studie
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