The multiple-record systems estimator when registrations refer to different but overlapping populations.

Abstract:

:In multiple-record systems estimation it is usually assumed that all registration relate to the same population. In this paper, we develop a method which can be used when the registrations relate to different populations, in the sense that they cover, for example, different time periods or regions. We show that under certain conditions ignoring that the registrations relate to different populations results in correct estimates of population size. The EM algorithm is presented as a method that can be used for more general problems. The parametric bootstrap is used to construct a confidence interval. The proposed method is then applied to a data set with five registrations of neural tube defects, that cover different time periods.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Zwane EN,van der Pal-de Bruin K,van der Heijden PG

doi

10.1002/sim.1818

subject

Has Abstract

pub_date

2004-07-30 00:00:00

pages

2267-81

issue

14

eissn

0277-6715

issn

1097-0258

journal_volume

23

pub_type

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