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06 June 2018

Machine learning approaches have been increasingly used in subgroup identification to maximize patient’s benefits of treatments. They may also be used in treatment effect evaluation and adjustment for clinical trials and, especially, for observational studies in the big data environment. However, methods and applications in this area are less known to pharmaceutical statisticians. We give a short review on some recently developed approaches and report our recent research on double machine learning (DML).

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