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, 2017 <doi:10.1177/0962280217718582>).">

surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses (original) (raw)

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, 2017 <doi:10.1177/0962280217718582>).

Version: 1.1.26
Depends: R (≥ 3.5.0)
Imports: copula, eha, grDevices, lme4, MASS, Matrix, msm, mvmeta, optimx, parallel, parfm, stats, survival
Suggests: R.rsp, testthat (≥ 3.0.0)
Published: 2023-04-14
DOI: 10.32614/CRAN.package.surrosurv
Author: Federico Rotolo ORCID iD [aut], Xavier Paoletti [ctb], Marc Buyse [ctb], Tomasz Burzykowski [ctb], Stefan Michiels ORCID iD [ctb], Dan Chaltiel ORCID iD [cre]
Maintainer: Dan Chaltiel <dan.chaltiel at gustaveroussy.fr>
BugReports: https://github.com/Oncostat/surrosurv/issues/
License: GPL-2
URL: https://github.com/Oncostat/surrosurv
NeedsCompilation: no
Materials: README
CRAN checks: surrosurv results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=surrosurvto link to this page.