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Machine learning approaches to evaluate heterogeneous treatment effects in randomized controlled trials: a scoping review

Kosuke Inoue, Motohiko Adomi, Orestis Efthimiou, Toshiaki Komura, Kenji Omae, Akira Ōnishi, Yusuke Tsutsumi, Tomoko Fujii, Naoki Kondo, Toshi A. Furukawa

2024Journal of Clinical Epidemiology31 citationsDOIOpen Access PDF

Topics & Concepts

Randomized controlled trialMedicineMEDLINEMedical physicsComputer sciencePhysical therapySurgeryPolitical scienceLawAdvanced Causal Inference TechniquesStatistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Machine learning approaches to evaluate heterogeneous treatment effects in randomized controlled trials: a scoping review | Litcius