Machine learning assisted adjustment boosts efficiency of exact inference in randomized controlled trials

• Published in: Scientific reports Vol. 15; no. 1; pp. 24454 - 9
• Main Authors: Yu, Han, Hutson, Alan, Ma, Xiaoyi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 08.07.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/531; 692/308/2779/777; Algorithms; Clinical trials; Computer Simulation; Efficiency; Humanities and Social Sciences; Humans; Hypotheses; Hypothesis testing; Learning algorithms; Machine Learning; Mann-Whitney U test; multidisciplinary; Randomized Controlled Trials as Topic - methods; Science; Science (multidisciplinary); Statistical power

In this work, we proposed a novel inferential procedure assisted by machine learning based adjustment for randomized control trials. The method was developed under the Rosenbaum’s framework of exact tests in randomized experiments with covariate adjustments, replacing the traditional linear model wi...