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Predictive markers in a randomized trial with survival outcomes
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| Organization: | National Cancer Institute |
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A predictive marker is a baseline variable in a randomized trial that is used to determine subgroups in which the effect of treatment is greater than average. The software splits the data into training and test samples. The model fits a benefit function to the training sample and applies the fitted benefit function to marker data from each test sample participant to obtain a benefit score for each test sample participant. Results are summarized in a subpopulation treatment effect pattern plot that indicates the estimated treatment effect at various cutpoints of the benefit score. This implementation applies to survival times with a censoring indicator.
Reference: Baker SG and Bonetti M. Evaluating markers for guiding treatment. Journal of the National Cancer Institute 2016; 108:djw101
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| Predictive markers in a randomized trial with survival outcomes (40.2 KB) - Unknown MIME type |
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