surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Version 1.1.16

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.

Package details

AuthorFederico Rotolo [aut, cre], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr]
Date of publication2017-05-06 13:29:09
MaintainerFederico Rotolo <[email protected]>
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 31, 2017, 2:12 a.m.