ロード中...
Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data
In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the cause-specific mortality fraction (CSMF) for populations. Post-mortem autopsies, considered the gold standard for COD ass...
保存先:
| 出版年: | J R Stat Soc Ser C Appl Stat |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2021
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8320757/ https://ncbi.nlm.nih.gov/pubmed/34334826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12468 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|