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Found 2 papers, 1 papers with code
A unified Bayesian framework for interval hypothesis testing in clinical trials
The American Statistical Association (ASA) statement on statistical significance and P-values \cite{wasserstein2016asa} cautioned statisticians against making scientific decisions solely on the basis of traditional P-values.
Combining Doubly Robust Methods and Machine Learning for Estimating Average Treatment Effects for Observational Real-world Data
Recently, various doubly robust methods have been proposed for average treatment effect estimation by combining the treatment model and the outcome model via different vehicles, such as matching, weighting, and regression.
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