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© 1978 Oxford University Press

other

Analytic Methods in Matched Pair Epidemiological Studies

BERNARD ROSNER1, and CHARLES H HENNEKENS2

1 The Channing Laboratory, Departments of Preventive and Social Medicine and Medicine, Harvard Medical School and Peter Bent Brigham Hospital, a Division of Affiliated Hospitals Center, Inc.
2 Supported in part, by a Training Grant (HL 05998) from the National Heart, Lung and Blood Institute. Dr Hennekens is a recipient of a Research Career Development award (HL 00286) from the National Heart, Lung and Blood Institute

Address reprint requests to Dr Rosner, 180 Longwood Avenue, Boston, MA 02115.

Two methods of analysis of matched pair epidemiologic studies are presented. The within pair difference between study and comparison individuals is evaluated with respect to additional confounding variables while simultaneously maintaining the matching. The effects of additional confounding variables are quantiated by their association with the response variable (i.e. exposure in a case-control study or disease in a cohort study). For a binary response variable a multiple logistic function is used and a method to estimate the odds ratio is given. For a continuous response variable multiple regression is used and a method to estimate an odds ratio function is derived.

Received 3 April 1978


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