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.

Package details

AuthorFederico Rotolo [aut, cre], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr]
MaintainerFederico Rotolo <federico.rotolo@gustaveroussy.fr>
LicenseGPL-2
Version1.1.16
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("surrosurv", repos="http://R-Forge.R-project.org")

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surrosurv documentation built on May 2, 2019, 4:48 p.m.