Pages that link to "Item:Q6537828"
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The following pages link to Estimating optimal treatment regimes from a classification perspective (Q6537828):
Displaying 18 items.
- Flexible functional regression methods for estimating individualized treatment rules (Q6539178) (← links)
- Erratum to: ``Estimating optimal treatment regimes from a classification perspective'' (Q6539187) (← 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)
- Estimating heterogeneous treatment effects for latent subgroups in observational studies (Q6625560) (← links)
- Estimating individual treatment effects by gradient boosting trees (Q6627236) (← links)
- Identification of the optimal treatment regimen in the presence of missing covariates (Q6627308) (← links)
- Identification and inference for subgroups with differential treatment efficacy from randomized controlled trials with survival outcomes through multiple testing (Q6628196) (← links)
- Robust method for optimal treatment decision making based on survival data (Q6628198) (← links)
- Restricted sub-tree learning to estimate an optimal dynamic treatment regime using observational data (Q6628266) (← links)
- Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness (Q6629805) (← links)
- A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data (Q6629877) (← links)
- Influence re-weighted g-estimation (Q6632728) (← links)
- Super-learning of an optimal dynamic treatment rule (Q6632736) (← 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)
- Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data (Q6652603) (← links)
