Variable selection for optimal treatment decision

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Variable selection for optimal treatment decision.

In decision-making on optimal treatment strategies, it is of great importance to identify variables that are involved in the decision rule, i.e. those interacting with the treatment. Effective variable selection helps to improve the prediction accuracy and enhance the interpretability of the decision rule. We propose a new penalized regression framework which can simultaneously estimate the opt...

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This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable selection techniques were developed for use in a supervised learning setting where the goal is optimal prediction of treatment response. These techniques often leave behind small but important interaction variables that...

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ژورنال

عنوان ژورنال: Statistical Methods in Medical Research

سال: 2011

ISSN: 0962-2802,1477-0334

DOI: 10.1177/0962280211428383