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RECAP: Stata module to perform capture-recapture analysis for three sources with Goodness-of-Fit based confidence intervals

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Author Info
Matthias an der Heiden ()
Abstract

the principle of the capture-recapture method is that by comparing cases in three overlapping data sources, the number of unascertained cases can be estimated. The validity of the estimate relies on 3 basic assumptions: cases must be accurately matched, study population is closed and the individuals have equal catchability. To take into account all possible two-way interactions (dependencies) between the data sources and correct for these, log-linear models were fitted to the observed cases producing a maximum likelihood estimate for unascertained cases. The model fit can be evaluated by comparing p-values and/or the Akaike’s Information Criterion (AIC).

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File URL: http://fmwww.bc.edu/repec/bocode/r/recap.ado
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456859.

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Programming language: Stata
Requires: Stata version 9
Date of creation: 03 Aug 2007
Date of revision: 07 Jul 2009
Handle: RePEc:boc:bocode:s456859

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Related research
Keywords: capture; recapture; goodness of fit; interactions;

Statistics
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This page was last updated on 2009-11-23.


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