Pages that link to "Item:Q4559704"
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The following pages link to Estimation and Inference of Heterogeneous Treatment Effects using Random Forests (Q4559704):
Displaying 36 items.
- Causal Interpretations of Black-Box Models (Q6617753) (← links)
- Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects (Q6618414) (← links)
- Estimation of Conditional Average Treatment Effects With High-Dimensional Data (Q6620854) (← links)
- Instrument Validity Tests With Causal Forests (Q6620888) (← links)
- Double Machine Learning for Sample Selection Models (Q6626262) (← links)
- Medoid splits for efficient random forests in metric spaces (Q6626717) (← links)
- Effect modification in anchored indirect treatment comparison: comments on ``Matching-adjusted indirect comparisons: application to time-to-event data'' (Q6626810) (← links)
- Rule ensemble method with adaptive group Lasso for heterogeneous treatment effect estimation (Q6626865) (← links)
- Estimation and evaluation of individualized treatment rules following multiple imputation (Q6626955) (← links)
- Estimating individual treatment effects by gradient boosting trees (Q6627236) (← links)
- Estimating heterogeneous survival treatment effect in observational data using machine learning (Q6627965) (← links)
- Learning and confirming a class of treatment responders in clinical trials (Q6627989) (← links)
- Subgroup discovery in non-inferiority trials (Q6628019) (← links)
- Slamming the sham: a Bayesian model for adaptive adjustment with noisy control data (Q6628122) (← links)
- Multithreshold change plane model: estimation theory and applications in subgroup identification (Q6628124) (← links)
- Incorporating external data into the analysis of clinical trials via Bayesian additive regression trees (Q6628191) (← links)
- Robust method for optimal treatment decision making based on survival data (Q6628198) (← links)
- Lasso estimation of hierarchical interactions for analyzing heterogeneity of treatment effect (Q6628229) (← links)
- Using knockoffs for controlled predictive biomarker identification (Q6628231) (← links)
- Causal mediation analysis with latent subgroups (Q6628249) (← links)
- A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint (Q6628296) (← links)
- Assessment of heterogeneous treatment effect estimation accuracy via matching (Q6628418) (← links)
- Propensity score weighting for causal subgroup analysis (Q6628460) (← links)
- On estimation and cross-validation of dynamic treatment regimes with competing risks (Q6629369) (← links)
- Bayesian graphical modeling for heterogeneous causal effects (Q6629904) (← links)
- Toward Optimal Variance Reduction in Online Controlled Experiments (Q6631128) (← links)
- De-confounding Causal Inference Using Latent Multiple-Mediator Pathways (Q6631704) (← links)
- Ideal Bayesian Spatial Adaptation (Q6631706) (← links)
- Doubly robust adaptive LASSO for effect modifier discovery (Q6637097) (← links)
- Time series quantile regression using random forests (Q6641051) (← links)
- Protocols for observational studies: methods and open problems (Q6649128) (← links)
- Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning (Q6651384) (← links)
- Extremal Random Forests (Q6651413) (← links)
- Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data (Q6652603) (← links)
- Evaluating individualized treatment effect predictions: a model-based perspective on discrimination and calibration assessment (Q6652610) (← links)
- Heterogeneous treatment effect bounds under sample selection with an application to the effects of social media on political polarization (Q6664634) (← links)
