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Bayesian variable selection for a semi-competing risks model with three hazard functions
A variable selection procedure is developed for a semi-competing risks regression model with three hazard functions that uses spike-and-slab priors and stochastic search variable selection algorithms for posterior inference. A rule is devised for choosing the threshold on the marginal posterior prob...
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| Udgivet i: | Comput Stat Data Anal |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5637455/ https://ncbi.nlm.nih.gov/pubmed/29033478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2017.03.002 |
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