Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme.

Chakraborty, Bibhas; Laber, Eric B; Zhao, Yingqi

Chakraborty, Bibhas; Laber, Eric B; Zhao, Yingqi.

Affiliation

Chakraborty B; Department of Biostatistics, Columbia University, New York, New York 10032, U.S.A.. bc2425@columbia.edu.

Biometrics ; 69(3): 714-23, 2013 Sep.

Article in En | MEDLINE | ID: mdl-23845276

Subject(s)

Biometry/methods; Randomized Controlled Trials as Topic/statistics & numerical data; Antidepressive Agents/therapeutic use; Artificial Intelligence; Computer Simulation; Confidence Intervals; Decision Theory; Depressive Disorder, Major/drug therapy; Humans; Linear Models; Logistic Models; Models, Statistical; Monte Carlo Method

Key words

Dynamic Treatment Regime; Nonregularity; Q-learning; m-Out-of-n Bootstrap

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Full text: 1 Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / Biometry Type of study: Clinical_trials / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biometrics Year: 2013 Type: Article Affiliation country: United States

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