A review summarizing parametric, nonparametric, Bayesian, and machine learning methods for efficacy analysis in clinical trials and identifying gaps such as high-dimensional data and missingness.
The generalization of ‘student’s’problem when several different population varlances are involved.Biometrika, 34(1-2):28–35
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Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches
A review summarizing parametric, nonparametric, Bayesian, and machine learning methods for efficacy analysis in clinical trials and identifying gaps such as high-dimensional data and missingness.