Pages that link to "Item:Q2809514"
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The following pages link to Using decision lists to construct interpretable and parsimonious treatment regimes (Q2809514):
Displaying 34 items.
- Learning Certifiably Optimal Rule Lists for Categorical Data (Q115375) (← links)
- Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model (Q902909) (← links)
- Tree-based reinforcement learning for estimating optimal dynamic treatment regimes (Q1621050) (← links)
- Learning customized and optimized lists of rules with mathematical programming (Q1741119) (← links)
- Generalization error bounds of dynamic treatment regimes in penalized regression-based learning (Q2091828) (← links)
- On testing conditional qualitative treatment effects (Q2313289) (← links)
- Interpretable Dynamic Treatment Regimes (Q3121178) (← links)
- An Algorithm for Generating Individualized Treatment Decision Trees and Random Forests (Q3391166) (← links)
- Tree-based methods for individualized treatment regimes (Q3455798) (← links)
- (Q4633064) (← links)
- Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals (Q5120645) (← links)
- A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects (Q5120658) (← links)
- Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes (Q5130612) (← links)
- (Q5149228) (← links)
- Greedy outcome weighted tree learning of optimal personalized treatment rules (Q5283293) (← links)
- A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity (Q5857107) (← links)
- Learning When-to-Treat Policies (Q5857115) (← links)
- Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes (Q5857116) (← links)
- High-Dimensional Precision Medicine From Patient-Derived Xenografts (Q6044605) (← links)
- Optimal Treatment Regimes: A Review and Empirical Comparison (Q6131429) (← links)
- A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets (Q6138596) (← links)
- Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates (Q6158220) (← links)
- Learning Non-monotone Optimal Individualized Treatment Regimes (Q6185134) (← links)
- Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies (Q6543882) (← links)
- Reflections on the concept of optimality of single decision point treatment regimes (Q6595094) (← links)
- Estimation in optimal treatment regimes based on mean residual lifetimes with right-censored data (Q6595104) (← links)
- Bayesian decision-theoretic methods for survival data using stochastic optimization (Q6617430) (← links)
- Integrating multiple-domain rules for disease classification (Q6624676) (← links)
- Estimation and evaluation of individualized treatment rules following multiple imputation (Q6626955) (← links)
- PSICA: decision trees for probabilistic subgroup identification with categorical treatments (Q6628708) (← links)
- Optimal Dynamic Treatment Regimes and Partial Welfare Ordering (Q6631699) (← links)
- Comparing four methods for estimating tree-based treatment regimes (Q6636144) (← links)
- Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data (Q6652603) (← links)
- Deep spatial Q-learning for infectious disease control (Q6655999) (← links)
