Bayesian variable selection for survival
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Ioanna Tachmazidou; Michael R. Johnson; Maria De Iorio
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Article
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2010
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John Wiley and Sons
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English
β 224 KB
## Abstract Variable selection in regression with very big numbers of variables is challenging both in terms of model specification and computation. We focus on genetic studies in the field of survival, and we present a Bayesianβinspired penalized maximum likelihood approach appropriate for highβdi