In a clinical trial, it frequently occurs that the most credible
outcome to evaluate the effectiveness of a new therapy (the true
endpoint) is difficult to measure. In such a situation, it can be an
effective strategy to replace the true endpoint by a (bio)marker that is
easier to measure and that allows for a prediction of the treatment
effect on the true endpoint (a surrogate endpoint). The package
Surrogate allows for an evaluation of the appropriateness
of a candidate surrogate endpoint based on the meta-analytic,
information-theoretic, and causal-inference frameworks. Part of this
software has been developed using funding provided from the European
Union’s Seventh Framework Programme for research, technological
development and demonstration under Grant Agreement no 602552.
You can install the development version of Surrogate from GitHub with:
# install.packages("devtools")
devtools::install_github("florianstijven/Surrogate-development")