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 Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
||MASS, lattice, latticeExtra, survival, nlme, lme4, msm, logistf, rms, parallel, ks, extraDistr, pbapply, copula, flexsurv, kdecopula, mvtnorm, rvinecopulib, dplyr
||Wim Van der Elst, Florian Stijven, Fenny Ong, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
||Wim Van der Elst <Wim.vanderelst at gmail.com>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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