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Description

Assessing Performance of Prediction Models for Predicting Patient-Level Treatment Benefit.

Methods for assessing the performance of a prediction model with respect to identifying patient-level treatment benefit. All methods are applicable for continuous and binary outcomes, and for any type of statistical or machine-learning prediction model as long as it uses baseline covariates to predict outcomes under treatment and control.
Metadata

Version

0.1.1

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
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    MMIXware
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    none
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    Windows
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