Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials

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 7-th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.

Version: 0.1-77
Depends: MASS, msm
Imports: rgl, lattice, latticeExtra, survival, nlme, lme4, OrdinalLogisticBiplot, logistf, rms, mixtools
Published: 2016-10-01
Author: Wim Van der Elst, Paul Meyvisch, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst at>
BugReports: Wim Van der Elst <>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: Surrogate results


Reference manual: Surrogate.pdf
Package source: Surrogate_0.1-77.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: Surrogate_0.1-77.tgz, r-oldrel: Surrogate_0.1-77.tgz
Old sources: Surrogate archive


Please use the canonical form to link to this page.