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Population size estimation with interval censored counts and external information: Prevalence of multiple sclerosis in Rome

Population size estimation with interval censored counts and external information: Prevalence of multiple sclerosis in Rome

Authors :
Alessio Farcomeni
Source :
Biometrical journal. Biometrische ZeitschriftREFERENCES. 62(4)
Publication Year :
2019

Abstract

We discuss Bayesian log-linear models for incomplete contingency tables with both missing and interval censored cells, with the aim of obtaining reliable population size estimates. We also discuss use of external information on the censoring probability, which may substantially reduce uncertainty. We show in simulation that information on lower bounds and external information can each improve the mean squared error of population size estimates, even when the external information is not completely accurate. We conclude with an original example on estimation of prevalence of multiple sclerosis in the metropolitan area of Rome, where five out of six lists have interval censored counts. External information comes from mortality rates of multiple sclerosis patients.

Details

ISSN :
15214036
Volume :
62
Issue :
4
Database :
OpenAIRE
Journal :
Biometrical journal. Biometrische ZeitschriftREFERENCES
Accession number :
edsair.doi.dedup.....c5f407a6be610d7a9def52856239803c