Pages that link to "Item:Q65651"
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The following pages link to BART: Bayesian additive regression trees (Q65651):
Displaying 33 items.
- A new method for clustered survival data: estimation of treatment effect heterogeneity and variable selection (Q6625363) (← links)
- Estimating heterogeneous treatment effects for latent subgroups in observational studies (Q6625560) (← links)
- Comparing emulation methods for a high-resolution storm surge model (Q6626587) (← links)
- Rule ensemble method with adaptive group Lasso for heterogeneous treatment effect estimation (Q6626865) (← links)
- Parametric and nonparametric propensity score estimation in multilevel observational studies (Q6626946) (← links)
- Approaches to treatment effect heterogeneity in the presence of confounding (Q6627170) (← links)
- Balancing vs modeling approaches to weighting in practice (Q6627611) (← links)
- Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the health and retirement study (Q6627821) (← links)
- Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models (Q6627825) (← links)
- A practical introduction to Bayesian estimation of causal effects: parametric and nonparametric approaches (Q6627906) (← links)
- Estimating heterogeneous survival treatment effect in observational data using machine learning (Q6627965) (← links)
- Borrowing from supplemental sources to estimate causal effects from a primary data source (Q6628013) (← links)
- Incorporating external data into the analysis of clinical trials via Bayesian additive regression trees (Q6628191) (← links)
- Propensity score weighting for causal subgroup analysis (Q6628460) (← links)
- Bayesian phase II clinical trial design with noncompliance (Q6628481) (← links)
- Model-based Bayesian inference under computer assisted balance-improving designs (Q6628552) (← links)
- Utility based approach in individualized optimal dose selection using machine learning methods (Q6628609) (← links)
- A flexible approach for causal inference with multiple treatments and clustered survival outcomes (Q6629347) (← links)
- Flexible propensity score estimation strategies for clustered data in observational studies (Q6629350) (← links)
- Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: a simulation study (Q6629851) (← links)
- Addressing positivity violations in causal effect estimation using Gaussian process priors (Q6629905) (← links)
- Using leave-one-out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: a cautionary tale (Q6630339) (← links)
- An integrated Bayesian framework for multi-omics prediction and classification (Q6630341) (← links)
- Using BART to Perform Pareto Optimization and Quantify its Uncertainties (Q6631101) (← links)
- The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling (Q6631112) (← links)
- Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models (Q6631188) (← links)
- Model Mixing Using Bayesian Additive Regression Trees (Q6631195) (← links)
- Ideal Bayesian Spatial Adaptation (Q6631706) (← links)
- Analysis of Large Heterogeneous Repairable System Reliability Data With Static System Attributes and Dynamic Sensor Measurement in Big Data Environment (Q6636542) (← links)
- Doubly robust adaptive LASSO for effect modifier discovery (Q6637097) (← links)
- Multiple-model polynomial regression and efficient algorithms for data analysis (Q6639736) (← links)
- Scalable empirical Bayes inference and Bayesian sensitivity analysis (Q6649134) (← links)
- Causal health impacts of power plant emission controls under modeled and uncertain physical process interference (Q6665464) (← links)
