Variable selection for individualised treatment rules with discrete outcomes.
J R Stat Soc Ser C Appl Stat
; 73(2): 298-313, 2024 Mar.
Article
em En
| MEDLINE
| ID: mdl-38487498
ABSTRACT
An individualised treatment rule (ITR) is a decision rule that aims to improve individuals' health outcomes by recommending treatments according to subject-specific information. In observational studies, collected data may contain many variables that are irrelevant to treatment decisions. Including all variables in an ITR could yield low efficiency and a complicated treatment rule that is difficult to implement. Thus, selecting variables to improve the treatment rule is crucial. We propose a doubly robust variable selection method for ITRs, and show that it compares favourably with competing approaches. We illustrate the proposed method on data from an adaptive, web-based stress management tool.
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MEDLINE
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En
Ano de publicação:
2024
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Article