Pages that link to "Item:Q4559706"
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The following pages link to A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes (Q4559706):
Displaying 16 items.
- \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes (Q252819) (← links)
- High-dimensional \(A\)-learning for optimal dynamic treatment regimes (Q1650064) (← links)
- Predictive Bayesian inference and dynamic treatment regimes (Q2803424) (← links)
- Outcome weighted learning methods for optimal dynamical treatment regimes (Q2829299) (← links)
- Data-guided Treatment Recommendation with Feature Scores (Q5040488) (← links)
- A smoothed <i>Q</i>‐learning algorithm for estimating optimal dynamic treatment regimes (Q5381071) (← links)
- Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes (Q5857116) (← links)
- Deep advantage learning for optimal dynamic treatment regime (Q5879958) (← links)
- Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data (Q5881147) (← links)
- Covariate-modulated large-scale multiple testing under dependence (Q6167051) (← links)
- Designing optimal, data-driven policies from multisite randomized trials (Q6198860) (← links)
- Dynamic treatment regimes using Bayesian additive regression trees for censored outcomes (Q6205050) (← links)
- Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes (Q6563659) (← links)
- A practical introduction to Bayesian estimation of causal effects: parametric and nonparametric approaches (Q6627906) (← links)
- Bayesian inference for optimal dynamic treatment regimes in practice (Q6636232) (← links)
- A sequential, multiple assignment, randomized trial design with a tailoring function (Q6656300) (← links)
