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Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival
As data-rich medical datasets are becoming routinely collected, there is a growing demand for regression methodology that facilitates variable selection over a large number of predictors. Bayesian variable selection algorithms offer an attractive solution, whereby a sparsity inducing prior allows in...
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| Publicado no: | Stat Methods Med Res |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6055985/ https://ncbi.nlm.nih.gov/pubmed/25193065 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280214548748 |
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