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Bayesian Underreported in Disease Mapping
Bayesian Underreported in Disease Mapping
S. Padmadisastra, J. Suprijadi
Universitas Padjadjaran, AIP Conference Proceedings 1660, 050052 (2015); doi: 10.1063/1.4915685, View online: https://dx.doi.org/10.1063/1.4915685, View Table of Contents: https://scitation.aip.org/content/aip/proceeding/aipcp/1660?ver=pdfcov
Bahasa Inggris
Universitas Padjadjaran, AIP Conference Proceedings 1660, 050052 (2015); doi: 10.1063/1.4915685, View online: https://dx.doi.org/10.1063/1.4915685, View Table of Contents: https://scitation.aip.org/content/aip/proceeding/aipcp/1660?ver=pdfcov
Disease mapping, Gibbs sampling, Posterior, prior, underreported
S. Padmadisastra, J. Suprijadi
Universitas Padjadjaran, AIP Conference Proceedings 1660, 050052 (2015); doi: 10.1063/1.4915685, View online: https://dx.doi.org/10.1063/1.4915685, View Table of Contents: https://scitation.aip.org/content/aip/proceeding/aipcp/1660?ver=pdfcov
Bahasa Inggris
Universitas Padjadjaran, AIP Conference Proceedings 1660, 050052 (2015); doi: 10.1063/1.4915685, View online: https://dx.doi.org/10.1063/1.4915685, View Table of Contents: https://scitation.aip.org/content/aip/proceeding/aipcp/1660?ver=pdfcov
Disease mapping, Gibbs sampling, Posterior, prior, underreported
In this paper we discuss disease mapping construction when the number of observation is under reported. This case caused the maximum likelihood estimator of relative risk parameter can’t be obtained, different with the case when the observations are complete. The case of under reported in this paper is concerned with health case where because of some reasons there are a number of diseased people who are not counted or not reported. We suggest a Bayesian method of constructing that considered under reportedness in the data.
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