Pages that link to "Item:Q4648555"
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The following pages link to Estimating Individualized Treatment Rules Using Outcome Weighted Learning (Q4648555):
Displaying 50 items.
- Estimating individualized treatment rules with risk constraint (Q6047773) (← links)
- Adaptive treatment and robust control (Q6047806) (← links)
- Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes (Q6050954) (← links)
- Receiver operating characteristic curves and confidence bands for support vector machines (Q6055500) (← links)
- Identifying individual predictive factors for treatment efficacy (Q6055526) (← links)
- On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime (Q6055681) (← links)
- Restricted survival benefit with right‐censored data (Q6068808) (← links)
- A constrained single‐index regression for estimating interactions between a treatment and covariates (Q6074496) (← links)
- Net benefit index: Assessing the influence of a biomarker for individualized treatment rules (Q6079257) (← links)
- Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective (Q6079355) (← links)
- Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes (Q6079628) (← links)
- A General Framework for Subgroup Detection via One-Step Value Difference Estimation (Q6079696) (← links)
- Functional additive models for optimizing individualized treatment rules (Q6079849) (← links)
- Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension (Q6107209) (← links)
- Individualized Group Learning (Q6107235) (← links)
- Optimal personalized treatment selection with multivariate outcome measures in a multiple treatment case (Q6124999) (← links)
- Optimal Treatment Regimes: A Review and Empirical Comparison (Q6131429) (← links)
- Orthogonal statistical learning (Q6136574) (← links)
- LRBmat: a novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer (Q6136943) (← 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)
- Kernel machines with missing covariates (Q6184885) (← links)
- Learning Non-monotone Optimal Individualized Treatment Regimes (Q6185134) (← links)
- Designing optimal, data-driven policies from multisite randomized trials (Q6198860) (← links)
- Estimating optimal treatment regimes from a classification perspective (Q6537828) (← 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)
- Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies (Q6543882) (← links)
- A single index model for longitudinal outcomes to optimize individual treatment decision rules (Q6543968) (← links)
- Multi-label residual weighted learning for individualized combination treatment rule (Q6546433) (← links)
- Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable (Q6547768) (← 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)
- Penalized robust learning for optimal treatment regimes with heterogeneous individualized treatment effects (Q6572000) (← links)
- Learning decision catalogues for situated decision making: the case of scoring systems (Q6577678) (← links)
- Estimating optimal individualized treatment rules with multistate processes (Q6589219) (← 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)
- On ``Reflections on the concept of optimality of single decision point treatment regimes'' (Q6595111) (← links)
- Individualized inference through fusion learning (Q6601097) (← links)
- Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies. II (Q6614639) (← links)
- Learning optimal biomarker-guided treatment policy for chronic disorders (Q6615930) (← links)
- A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome (Q6617460) (← links)
- Causal Interpretations of Black-Box Models (Q6617753) (← links)