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) 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 ).


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surrosurv

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

Description

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.

Reference manual

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install.packages("surrosurv")

1.1.27 by Dan Chaltiel, a year ago


https://github.com/Oncostat/surrosurv


Report a bug at https://github.com/Oncostat/surrosurv/issues/


Browse source code at https://github.com/cran/surrosurv


Authors: Federico Rotolo [aut] , Xavier Paoletti [ctb] , Marc Buyse [ctb] , Tomasz Burzykowski [ctb] , Stefan Michiels [ctb] , Dan Chaltiel [cre]


Documentation:   PDF Manual  


GPL-2 license


Imports copula, eha, grDevices, lme4, MASS, Matrix, msm, mvmeta, optimx, parallel, parfm, stats, survival

Suggests R.rsp, testthat


See at CRAN