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Surrogate endpoint evaluation based on historical trials
Author

Stuart Baker
Organization: National Cancer Institute
Description

This software fits a zero-intercept random effects linear model to data on surrogate and true endpoints in previous trials.

Reference: Baker SG. Five criteria for using a surrogate endpoint to predict treatment effect based on data from multiple previous trials. Statistics in Medicine 2018 37(4):507-518.
Subjects

*Mathematics > Probability and Statistics
*Wolfram Technology > Mathematica
Keywords

surrogate endpoints, criteria
Downloads

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Surrogate endpoint evaluation based on historical trials.zip (30.5 KB) - ZIP archive