surrosurv: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Version 1.1.24

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 ).

Package details

AuthorFederico Rotolo [aut, cre], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr]
Date of publication2017-09-27 08:26:45 UTC
MaintainerFederico Rotolo <[email protected]>
LicenseGPL-2
Version1.1.24
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("surrosurv")

Try the surrosurv package in your browser

Any scripts or data that you put into this service are public.

surrosurv documentation built on Sept. 27, 2017, 9:04 a.m.