Bayesian estimation of distributions of causes of death in developing countries
Project/Area Number |
16H06853
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Research Category |
Grant-in-Aid for Research Activity Start-up
|
Allocation Type | Single-year Grants |
Research Field |
Economic statistics
|
Research Institution | Kwansei Gakuin University (2017) Nagoya University (2016) |
Principal Investigator |
|
Project Period (FY) |
2016-08-26 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | ベイズ統計学 / マルコフ連鎖モンテカルロ法 / 多変量データ / 条件付き確率 / 経済統計学 / 死因の分布推定 |
Outline of Final Research Achievements |
This research project develops a new Bayesian method for estimation of population distributions of deaths by cause using verbal autopsy data in developing countries without full-coverage civil registration system. Using the Population Health Metrics Research Consortium data, we assess accuracy of the estimation of distributions of cause-of-death by the proposed method. Under various scenarios, we compare the proposed method to an existing one and observe the outperformance of the new Bayesian approach.
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Report
(3 results)
Research Products
(7 results)