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 (Rotolo et al, 2019 <doi:10.1177/0962280217718582>).

Version: 1.1.25
Depends: R (≥ 2.10), stats, optimx, grDevices
Imports: copula, eha, lme4, MASS, Matrix, msm, mvmeta, optextras, parallel, parfm, survival, SurvCorr
Suggests: R.rsp
Published: 2019-01-18
Author: Federico Rotolo [aut], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr, cre]
Maintainer: Stefan Michiels <stefan.michiels at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: surrosurv results


Reference manual: surrosurv.pdf
Vignettes: Validation of time-to-event surrogate endpoints using the surrosurv package
Parameterization of copula functions
Package source: surrosurv_1.1.25.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: surrosurv_1.1.25.tgz, r-oldrel: surrosurv_1.1.25.tgz
Old sources: surrosurv archive


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