surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses

Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <doi:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM.

Version: 1.1.10
Depends: R (≥ 2.10), stats, optimx, grDevices
Imports: copula, eha, lme4, MASS, msm, mvmeta, optextras, parallel, parfm, survival, SurvCorr
Suggests: knitr
Published: 2017-02-28
Author: Federico Rotolo [aut, cre], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr]
Maintainer: Federico Rotolo <federico.rotolo at gustaveroussy.fr>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: MetaAnalysis
CRAN checks: surrosurv results

Downloads:

Reference manual: surrosurv.pdf
Vignettes: Parameterization of copula functions
The surrosurv package, use and examples
Package source: surrosurv_1.1.10.tar.gz
Windows binaries: r-devel: surrosurv_1.1.10.zip, r-release: surrosurv_1.1.10.zip, r-oldrel: surrosurv_1.1.10.zip
OS X El Capitan binaries: r-release: surrosurv_1.1.10.tgz
OS X Mavericks binaries: r-oldrel: surrosurv_1.1.10.tgz
Old sources: surrosurv archive

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