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A Bayesian Network Interpretation of the Cox’s Proportional Hazard Model
Cox’s proportional hazards (CPH) model is quite likely the most popular modeling technique in survival analysis. While the CPH model is able to represent a relationship between a collection of risks and their common effect, Bayesian networks have become an attractive alternative with an increased mo...
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| 發表在: | Int J Approx Reason |
|---|---|
| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6530916/ https://ncbi.nlm.nih.gov/pubmed/31130777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijar.2018.09.007 |
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