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Capture–Recapture, Epidemiology, and List Mismatches: Several Lists
Author(s) -
Lee Alan J.,
Seber George A. F.,
Holden Jennifer K.,
Huakau John T.
Publication year - 2001
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2001.00707.x
Subject(s) - mark and recapture , biometrics , misinformation , population , computer science , statistics , estimation , econometrics , mathematics , medicine , artificial intelligence , computer security , environmental health , management , economics
Summary. In applying capture‐recapture methods for closed populations to epidemiology, e.g., in the estimation of the size of a diabetes population, one comes up against the problem of list errors due to mistyping or misinformation. This problem has been studied for just two lists by Seber, Huakau, and Simmons (2000, Biometrics 56 , 1227–1232) using the concept of tag loss borrowed from animal population studies. In this article, we discuss a similar method that can be extended to an arbitrary number of lists. The methods are applied to an example.