Machine learning for randomised controlled trials: identifying treatment effect heterogeneity with strict control of type I error
This paper develops ML methods for RCTs to identify treatment effect heterogeneity while controlling type I error, finding no crossover subgroups but significant noncrossover TEH in artesunate treatment.
Trials · Feb 10, 2020Peer-reviewedBioinformatics