Pages that link to "Item:Q3391146"
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The following pages link to Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods (Q3391146):
Displaying 18 items.
- The designed bootstrap for causal inference in big observational data (Q2063871) (← links)
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests (Q4559704) (← links)
- Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation (Q5057255) (← links)
- Tree-structured analysis of treatment effects with large observational data (Q5126965) (← links)
- THE METHODS OF REGRESSION APPLIED TO THE STOCK PRICE FORECASTING (Q5215102) (← links)
- Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data (Q5857113) (← links)
- A Semiparametric Approach to Model Effect Modification (Q5885101) (← links)
- Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text (Q6068821) (← links)
- A General Framework for Subgroup Detection via One-Step Value Difference Estimation (Q6079696) (← links)
- Estimating Tree-Based Dynamic Treatment Regimes Using Observational Data with Restricted Treatment Sequences (Q6079711) (← links)
- Efficient screening of predictive biomarkers for individual treatment selection (Q6094206) (← links)
- A new method for clustered survival data: estimation of treatment effect heterogeneity and variable selection (Q6625363) (← links)
- Estimating individual treatment effects by gradient boosting trees (Q6627236) (← links)
- Estimating heterogeneous survival treatment effect in observational data using machine learning (Q6627965) (← links)
- Incorporating external data into the analysis of clinical trials via Bayesian additive regression trees (Q6628191) (← links)
- A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint (Q6628296) (← links)
- CAPITAL: optimal subgroup identification via constrained policy tree search (Q6628551) (← links)
- A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data (Q6629877) (← links)
