Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information

Estimates the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored surrogate outcome/event. All methods are described in detail in Parast, et al (2020) "Assessing the Value of a Censored Surrogate Outcome" and Wang et al (2025) "Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival" . A tutorial for this package can be found at < https://www.laylaparast.com/surrogateoutcome>.


Reference manual

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install.packages("SurrogateOutcome")

1.2 by Layla Parast, a year ago


Browse source code at https://github.com/cran/SurrogateOutcome


Authors: Layla Parast [aut, cre] , Xuan Wang [aut]


Documentation:   PDF Manual  


GPL license


Imports stats, survival


See at CRAN