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, 2019 <DOI:10.1177/0962280217718582>).

Package details

AuthorFederico Rotolo [aut], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr, cre]
MaintainerStefan Michiels <[email protected]>
Package repositoryView on CRAN
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surrosurv documentation built on May 2, 2019, 9:57 a.m.