Efficient Assessment of Confounder Effects in Matched Follow‐Up Studies

Alexander M. Walker

Journal of the Royal Statistical Society Series C, 1982, vol. 31, issue 3, 293-297

Abstract: When matched sets of individuals are entered into follow‐up studies, data collection on many covariates can be eliminated without loss of relevant information. In a proportional hazards model with risk sets restricted by a matching factor, no individual's data enter into the likelihood function unless some member of his matched set experiences an event. In many epidemiological studies, the probability of an event in any given matched set is small; as a result most sets, having no event, make no contribution to effect estimates, and data collection in these sets can be avoided.

Date: 1982
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