Surrogate endpoint evaluation based on historical trials -- from Wolfram Library Archive

Title

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

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

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