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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, 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 |
| Author: |
Federico Rotolo 
[aut],
Xavier Paoletti [ctb],
Marc Buyse [ctb],
Tomasz Burzykowski [ctb],
Stefan Michiels
[ctb],
Dan Chaltiel
[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 NEWS |
| CRAN checks: |
surrosurv results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=surrosurv
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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