Variable selection in high dimensions for discrete-outcome individualized treatment rules: Reducing severity of depression symptoms
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Title
Variable selection in high dimensions for discrete-outcome individualized treatment rules: Reducing severity of depression symptoms
Authors
Keywords
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Journal
BIOSTATISTICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2023-08-09
DOI
10.1093/biostatistics/kxad022
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Note: Only part of the references are listed.- Ranking tailoring variables for constructing individualized treatment rules: An application to schizophrenia
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- World Federation of Societies of Biological Psychiatry (WFSBP) Guidelines for Biological Treatment of Unipolar Depressive Disorders, Part 1: Update 2013 on the acute and continuation treatment of unipolar depressive disorders
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