Cross‐validatory Selection of Binary Variables in Differential Diagnosis

A. Mabbett, M. Stone and J. Washbrook

Journal of the Royal Statistical Society Series C, 1980, vol. 29, issue 2, 198-204

Abstract: The statistical method of cross‐validatory choice is used to construct a basis for prediction of a binary dependent variable from binary independent variables. The implementation of the method involves a score function, a cut‐off value and a loss function. It proceeds by unrestricted sequential splitting, followed by a cross‐validatory selection of the cut‐off value which is then applied to the result of the splitting. The method is evaluated on three well‐known data‐bases for the diagnosis of kerato conjunctivitis sicca, rheumatoid arthritis and the treatment of jaundice. Generalizations of the technique are outlined.

Date: 1980
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:29:y:1980:i:2:p:198-204

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