qLearn
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Source code repository: https://github.com/cran/qLearn
Related Items (20)
Optimal dynamic treatment regimes with survival endpoints: introducing DWSurv in the R package DTRreg ⋮ Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials ⋮ Functional Feature Construction for Individualized Treatment Regimes ⋮ A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes ⋮ Statistical methods for dynamic treatment regimes. Reinforcement learning, causal inference, and personalized medicine ⋮ The numerical bootstrap ⋮ Adaptive contrast weighted learning for multi‐stage multi‐treatment decision‐making ⋮ Dynamic treatment regimes: technical challenges and applications ⋮ A Sequential Significance Test for Treatment by Covariate Interactions ⋮ Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions ⋮ Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program ⋮ Doubly-robust dynamic treatment regimen estimation via weighted least squares ⋮ Regularized outcome weighted subgroup identification for differential treatment effects ⋮ Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial ⋮ Estimating the Causal Effect of Low Tidal Volume Ventilation on Survival in Patients with Acute Lung Injury ⋮ Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes ⋮ Q-learning for estimating optimal dynamic treatment rules from observational data ⋮ Robust Q-Learning ⋮ Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m ‐Out‐of‐ n Bootstrap Scheme ⋮ Direct and approximately valid probabilistic inference on a class of statistical functionals
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