Bayesian model averaging: improved variable selection for matched case-control studies
Background: The problem of variable selection for risk factor modeling is an ongoing challenge in statistical practice. Classical methods that select one subset of exploratory risk factors dominate the medical research field. However, this approach has been criticized for not taking into account the...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Milano University Press
2019-06-01
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| Series: | Epidemiology, Biostatistics and Public Health |
| Online Access: | https://ebph.it/article/view/13048 |
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