- Machine Learning about Treatment Effect Heterogeneity🔍
- Machine Learning for Estimating Heterogeneous Casual Effects🔍
- Statistical Inference for Heterogeneous Treatment Effects ...🔍
- Heterogeneous treatment effect analysis based on machine ...🔍
- Machine learning approaches to evaluate heterogeneous treatment ...🔍
- Estimating heterogeneous survival treatment effect in observational ...🔍
- Machine Learning for Treatment Effect Heterogeneity🔍
- Generic machine learning inference on heterogeneous treatment ...🔍
Machine Learning for Treatment Effect Heterogeneity
Machine Learning about Treatment Effect Heterogeneity: The Case ...
Machine Learning about Treatment Effect Heterogeneity: The Case of Household Energy Use by Christopher R. Knittel and Samuel Stolper.
Machine Learning for Estimating Heterogeneous Casual Effects
In this paper we study the problems of estimating heterogeneity in causal effects in experimental or observational studies.
Statistical Inference for Heterogeneous Treatment Effects ...
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments.
Heterogeneous treatment effect analysis based on machine ...
Heterogeneous treatment effect (HTE) analysis focuses on examining varying treatment effects for individuals or subgroups in a population.
Machine learning approaches to evaluate heterogeneous treatment ...
Estimating heterogeneous treatment effects (HTEs) in randomized controlled trials (RCTs) has received substantial attention recently.
Estimating heterogeneous survival treatment effect in observational ...
Using flexible machine learning methods in the counterfactual framework is a promising approach to address challenges due to complex individual characteristics, ...
Machine Learning for Treatment Effect Heterogeneity
Recent developments in the causal inference literature introduced Machine Learning (ML) algorithms to the analysis of heterogeneous treatment effects.
Generic machine learning inference on heterogeneous treatment ...
Abstract. We propose strategies to estimate and make inference on key features of heterogeneous effects in ran- domized experiments.
Metalearners for estimating heterogeneous treatment effects using ...
We describe a number of metaalgorithms that can take advantage of any supervised learning or regression method in machine learning and statistics to estimate ...
8 Machine learning helps us analyze the impact of policies and ...
Machine learning methods can help us flexibly estimate heterogeneous treatment effects and choose an optimal policy for behavioral interventions.
What's new in the analysis of heterogeneous treatment effects?
Increasingly, researchers are now opting for machine learning (ML) inference to assess heterogeneity. In this version of the analysis, you stay ...
Statistical Inference for Heterogeneous Treatment Effects ... - arXiv
A growing number of researchers are turning to machine learning (ML) algorithms to uncover causal heterogeneity in randomized experiments. ML ...
Causal Bayesian machine learning to assess treatment effect ...
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia.
A Tutorial Introduction to Heterogeneous Treatment Effect Estimation ...
Understanding which characteristics are associated with treatment effect heterogeneity can help to customize therapy to the individual patient.
Machine learning approaches to evaluate heterogeneous treatment ...
Estimating heterogeneous treatment effects (HTEs) in randomized controlled trials (RCTs) has received substantial attention recently.
Machine Learning Based Estimation of Heterogeneous Treatment ...
A core problem that arises in most data-driven personalized decision scenarios is the estimation of heterogeneous treatment effects: what is the effect of an ...
Use of Machine Learning to Identify Heterogeneous Effects
Identification of heterogeneous treatment effects typically involves 2 separate but associated goals: (1) identification of subgroups with ...
Emulate randomized clinical trials using heterogeneous treatment ...
Estimating heterogeneous treatment effects (HTE) may have a high impact on developing personalized treatment. Lots of advanced machine learning models for ...
[2310.11962] Machine Learning for Staggered Difference-in ... - arXiv
Title:Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity ; Subjects: Econometrics (econ.EM).
Efficient Targeted Learning of Heterogeneous Treatment Effects for ...
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing ...