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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
- 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.
- Subjects :
- Statistics and Probability
Biometry
Multiple Sclerosis
Mean squared error
Bayesian probability
Rome
capture-recapture
01 natural sciences
Mark and recapture
010104 statistics & probability
03 medical and health sciences
0302 clinical medicine
Statistics
medicine
Prevalence
Humans
030212 general & internal medicine
0101 mathematics
Mathematics
Contingency table
Population Density
incomplete tables
right-censored counts
Multiple sclerosis
Population size
Mortality rate
Uncertainty
external information
General Medicine
medicine.disease
Censoring (clinical trials)
left-censored counts
Statistics, Probability and Uncertainty
Settore SECS-S/01
Subjects
Details
- ISSN :
- 15214036
- Volume :
- 62
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Biometrical journal. Biometrische ZeitschriftREFERENCES
- Accession number :
- edsair.doi.dedup.....c5f407a6be610d7a9def52856239803c