Doubly-Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling
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New research uses A/B test data to guide adaptive experiment design
A new research paper explores using historical data from A/B tests to inform the design of adaptive experiments, particularly those employing contextual bandits. The study introduces a method that combines off-policy ev…
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New calibrated DML method enhances statistical inference for treatment effects
Researchers have developed a new method called calibrated debiased machine learning (DML) to improve the accuracy of doubly robust estimators. These estimators are commonly used for analyzing treatment effects and regre…