title: Capture-recapture, epidemiology, and list mismatches: several lists.
abstract: 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.
authors.affiliation: Department of Statistics, University of Auckland, New Zealand. lee@stat.auckland.ac.nz
authors.forename: A J
authors.initials: AJ
authors.lastname: Lee
authors.forename: G A
authors.initials: GA
authors.lastname: Seber
authors.forename: J K
authors.initials: JK
authors.lastname: Holden
authors.forename: J T
authors.initials: JT
authors.lastname: Huakau
mesh_terms: D000818:Animals; D001699:Biometry; D003920:Diabetes Mellitus / Q000453:epidemiology; D004812:Epidemiologic Methods; D006801:Humans; D016014:Linear Models; D011156:Population Density; D011336:Probability; D016135:Spinal Dysraphism / Q000453:epidemiology