Fitting binary regression models with case-augmented samples

In a case-augmented study, measurements on a random sample from a population are augmented by information from an independent sample of cases, that is units with some characteristic of interest. We show that inferences about the effect of the covariates on the probability of being a case can be made by fitting a modified prospective likelihood. We also show that this procedure is fully efficient. Copyright 2006, Oxford University Press.

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Year of publication:	2006
Authors:	Lee, A. J. ; Scott, A. J. ; Wild, C. J.
Published in:	Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 93.2006, 2, p. 385-397
Publisher:	Biometrika Trust

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005559368