Pages that link to "Item:Q548554"

The following pages link to Performance guarantees for individualized treatment rules (Q548554):

Displaying 50 items.

• Orthogonal statistical learning (Q6136574) (← links)
• A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets (Q6138596) (← links)
• A reluctant additive model framework for interpretable nonlinear individualized treatment rules (Q6138648) (← links)
• Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates (Q6158220) (← links)
• Estimating heterogeneous treatment effects versus building individualized treatment rules: connection and disconnection (Q6170514) (← links)
• Off-policy evaluation in partially observed Markov decision processes under sequential ignorability (Q6183750) (← links)
• Learning Non-monotone Optimal Individualized Treatment Regimes (Q6185134) (← links)
• Transfer learning for contextual multi-armed bandits (Q6192325) (← 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)
• On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning (Q6538488) (← links)
• Flexible functional regression methods for estimating individualized treatment rules (Q6539178) (← links)
• Outcome weighted \(\Psi\)-learning for individualized treatment rules (Q6541746) (← links)
• Robust index of confidence weighted learning for optimal individualized treatment rule estimation (Q6541787) (← links)
• Multi-label residual weighted learning for individualized combination treatment rule (Q6546433) (← links)
• Deep spectral Q-learning with application to mobile health (Q6548807) (← links)
• Differentially private outcome-weighted learning for optimal dynamic treatment regime estimation (Q6548911) (← links)
• Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding (Q6567887) (← links)
• Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates (Q6567892) (← links)
• Penalized robust learning for optimal treatment regimes with heterogeneous individualized treatment effects (Q6572000) (← links)
• Stabilized direct learning for efficient estimation of individualized treatment rules (Q6589221) (← links)
• Relative contrast estimation and inference for treatment recommendation (Q6589230) (← 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)
• Individualized inference through fusion learning (Q6601097) (← links)
• Risk controlled decision trees and random forests for precision medicine (Q6622280) (← links)
• Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials (Q6625334) (← links)
• Longitudinal self-learning of individualized treatment rules in a nutrient supplementation trial with missing data (Q6626825) (← links)
• Composite interaction tree for simultaneous learning of optimal individualized treatment rules and subgroups (Q6627150) (← links)
• Quantifying treatment effects using the personalized chance of longer survival (Q6627254) (← links)
• Personalized treatment selection using data from crossover designs with carry-over effects (Q6627261) (← links)
• Identification of the optimal treatment regimen in the presence of missing covariates (Q6627308) (← links)
• Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models (Q6627825) (← links)
• Learning and confirming a class of treatment responders in clinical trials (Q6627989) (← links)
• Prospective individual patient data meta-analysis: evaluating convalescent plasma for COVID-19 (Q6628017) (← links)
• Multithreshold change plane model: estimation theory and applications in subgroup identification (Q6628124) (← links)
• Self-matched learning to construct treatment decision rules from electronic health records (Q6628646) (← links)
• Contrast weighted learning for robust optimal treatment rule estimation (Q6629379) (← links)
• Multi-threshold proportional hazards model and subgroup identification (Q6629415) (← links)
• Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness (Q6629805) (← links)
• Synthesizing independent stagewise trials for optimal dynamic treatment regimes (Q6629872) (← links)
• A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data (Q6629877) (← links)
• Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization (Q6631700) (← links)
• An approach to evaluating and comparing biomarkers for patient treatment selection (Q6632697) (← links)
• Super-learning of an optimal dynamic treatment rule (Q6632736) (← links)
• A quantitative concordance measure for comparing and combining treatment selection markers (Q6636143) (← links)
• Comparing four methods for estimating tree-based treatment regimes (Q6636144) (← links)
• The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions (Q6636222) (← links)
• A high-dimensional single-index regression for interactions between treatment and covariates (Q6640075) (← links)
• Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens (Q6651366) (← links)