Pages that link to "Item:Q4556703"
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The following pages link to A general statistical framework for subgroup identification and comparative treatment scoring (Q4556703):
Displaying 36 items.
- An omnibus test for detection of subgroup treatment effects via data partitioning (Q2080743) (← links)
- Subgroup identification and variable selection for treatment decision making (Q2135330) (← links)
- Augmented direct learning for conditional average treatment effect estimation with double robustness (Q2154959) (← links)
- Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction (Q2247498) (← links)
- Optimal treatments in cost-effectiveness analysis in the presence of covariates: improving patient subgroup definition (Q2253554) (← links)
- Fused comparative intervention scoring for heterogeneity of longitudinal intervention effects (Q2318660) (← links)
- A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions (Q2418380) (← links)
- Regularized outcome weighted subgroup identification for differential treatment effects (Q2803485) (← links)
- Minimum clinically important difference in medical studies (Q3465716) (← links)
- Learning Optimal Distributionally Robust Individualized Treatment Rules (Q4999141) (← links)
- Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes (Q5130612) (← links)
- A Sequential Significance Test for Treatment by Covariate Interactions (Q5155191) (← links)
- A Two-Part Framework for Estimating Individualized Treatment Rules From Semicontinuous Outcomes (Q5857108) (← links)
- Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data (Q5857113) (← links)
- Treatment recommendation and parameter estimation under single-index contrast function (Q5880175) (← links)
- A Semiparametric Approach to Model Effect Modification (Q5885101) (← links)
- A General Framework for Subgroup Detection via One-Step Value Difference Estimation (Q6079696) (← links)
- Efficient screening of predictive biomarkers for individual treatment selection (Q6094206) (← links)
- A reluctant additive model framework for interpretable nonlinear individualized treatment rules (Q6138648) (← links)
- Robust estimation of heterogeneous treatment effects: an algorithm-based approach (Q6181848) (← links)
- Designing optimal, data-driven policies from multisite randomized trials (Q6198860) (← links)
- Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies (Q6543882) (← links)
- Relative contrast estimation and inference for treatment recommendation (Q6589230) (← links)
- Some children left behind: variation in the effects of an educational intervention (Q6600018) (← links)
- Finding the best subgroup with differential treatment effect with multiple outcomes (Q6615893) (← links)
- Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data (Q6618495) (← links)
- Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials (Q6625334) (← links)
- A model-based multithreshold method for subgroup identification (Q6627149) (← links)
- Estimating individual treatment effects by gradient boosting trees (Q6627236) (← links)
- Robust estimation of heterogeneous treatment effects using electronic health record data (Q6627827) (← links)
- Learning and confirming a class of treatment responders in clinical trials (Q6627989) (← links)
- Multithreshold change plane model: estimation theory and applications in subgroup identification (Q6628124) (← links)
- Doubly robust estimation of optimal dynamic treatment regimes with multicategory treatments and survival outcomes (Q6629339) (← links)
- Predictive signature development based on maximizing the area between receiver operating characteristic curves (Q6629365) (← links)
- Estimation and visualization of heterogeneous treatment effects for multiple outcomes (Q6629958) (← links)
- Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data (Q6652603) (← links)
