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- Title
Discussion on "The central role of the identifying assumption in population size estimation" by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield.
- Authors
Whitehead, John
- Abstract
This article discusses the central role of the identifying assumption in population size estimation using the multiple-systems estimation (MSE) method. The authors emphasize that no estimation is possible without making a non-testable assumption about the data. They explain the commonly used identifying assumption of no highest-order interaction (NHOI) and the challenges it presents in terms of understanding and justifying the assumption. The authors also explore an alternative assumption called the marginal NHOI assumption. They recommend that researchers have the courage to conclude that no estimate of population size can be derived when appropriate. The article provides details on the frequentist approach and the Bayesian approach for conducting MSE analyses. The authors caution against applying MSE methodology without careful consideration and interpretation, especially when there are pressures to find a specific estimate.
- Subjects
BAYESIAN analysis; BAR associations; COMPUTER algorithms; WAR casualties
- Publication
Biometrics, 2024, Vol 80, Issue 1, p1
- ISSN
0006-341X
- Publication type
Article
- DOI
10.1093/biomtc/ujad031