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 gmail.com> |
BugReports: | Wim Van der Elst <Wim.vanderelst@gmail.com> |
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: Surrogate_0.1-77.zip, r-release: Surrogate_0.1-77.zip, r-oldrel: Surrogate_0.1-77.zip |
OS X Mavericks binaries: | r-release: Surrogate_0.1-77.tgz, r-oldrel: Surrogate_0.1-77.tgz |
Old sources: | Surrogate archive |
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