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Capture-recapture Studies with Incomplete Mixed Categorical and Continuous Covariates
Volume 6, Issue 4 (2008), pp. 557–572
Eugene Zwane   Peter van der Heijden  

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https://doi.org/10.6339/JDS.2008.06(4).426
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: Registrations in epidemiological studies suffer from incomplete ness, thus a general consensus is to use capture-recapture models. Inclusion of covariates which relate to the capture probabilities has been shown to improve the estimate of population size. The covariates used have to be measured by all the registrations. In this article, we show how multiple im putation can be used in the capture-recapture problem when some lists do not measure some of the covariates or alternatively if some covariates are unobserved for some individuals. The approach is then applied to data on neural tube defects from the Netherlands

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Journal of data science

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