Machine learning analysis plans for randomised controlled trials: Detecting treatment effect heterogeneity with strict control of type i error

© 2020 The Author(s). Background: Retrospective exploratory analyses of randomised controlled trials (RCTs) seeking to identify treatment effect heterogeneity (TEH) are prone to bias and false positives. Yet the desire to learn all we can from exhaustive data measurements on trial participants motiv...

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Bibliographic Details
Main Authors: James A. Watson, Chris C. Holmes
Other Authors: University of Oxford
Format: Article
Published: 2020
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/53757
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Institution: Mahidol University