Abstract #300366

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JSM 2003 Abstract #300366
Activity Number: 92
Type: Contributed
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300366
Title: Multilist Methods Using Incomplete Lists in Closed Populations
Author(s): Jason Sutherland*+ and Carl J. Schwarz
Companies: Simon Fraser University and Simon Fraser University
Address: Department of Statistics and Act. Sci., Burnaby, BC, V5A 1S6, Canada
Keywords: closed population ; estimating functions ; log-linear model ; mark-recapture ; multilist
Abstract:

Multilist methods are now commonly applied to estimating the size of human populations, having been successfully applied to estimating census undercount, prevalence of diseases, such as diabetes and human immunodeficiency virus (HIV) and estimating homelessness and drug abuser populations. A key assumption in multilist methods is that individuals have a unique "tag" that allows them to be matched across all lists. This paper develops multilist methodology that relaxes the assumption of a single tag common to all lists. Estimates are found using estimating functions. An example illustrates its application to estimating the prevalence of diabetes and a simulation study investigates conditions under which the methodology is robust to different lists and populations.

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