Bayesian Underreported in Disease Mapping

被引：0
|
作者：
Padmadisastra, S. [1 ]
Suprijadi, J. [1 ]
机构：
[1] Padjadjaran State Univ, Fak Matemat & Ilmu Pengetahuan Alam, Jurusan Stat, Jatinangor, Jawa Barat, Indonesia
来源：
INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICOMEIA 2014) | 2015年 / 1660卷
关键词：
Disease mapping; underreported; prior; posterior; Gibbs sampling;
D O I：
10.1063/1.4915685
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
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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页数：5
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