 |
 |
 |
 |
 |
 |
 |
 |
 Surrogate endpoint evaluation based on historical trials
 |
 |
 |
 |
 |
 |

Organization: | National Cancer Institute |
 |
 |
 |
 |
 |
 |
 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.
 |
 |
 |
 |
 |
 |

 |
 |
 |
 |
 |
 |
 surrogate endpoints, criteria
 |
 |
 |
 |
 |
 |

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