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Capture-recapture studies with incomplete mixed categorical and continous covariates

Zwane, E. and van der Heijden, P.G.M. (2008) Capture-recapture studies with incomplete mixed categorical and continous covariates Journal of Data Science, 6, (4), pp. 573-589.

Record type: Article


Registrations in epidemiological studies suffer from incompleteness, 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 imputation 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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Published date: October 2008
Organisations: Statistical Sciences Research Institute


Local EPrints ID: 344684
ISSN: 1680-743X
PURE UUID: 0743be7c-90c3-4aa8-bc00-66c2a8fb401f

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Date deposited: 26 Oct 2012 15:29
Last modified: 18 Jul 2017 05:14

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Author: E. Zwane

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