surrosurv-package: Evaluation of Failure Time Surrogate Endpoints in Individual...

In 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.

Details

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Author(s)

Federico Rotolo [aut, cre], Xavier Paoletti [ctr], Marc Buyse [ctr], Tomasz Burzykowski [ctr], Stefan Michiels [ctr]

Maintainer: Federico Rotolo <[e-mail]>

References

Rotolo F, Paoletti X, Burzykowski T, Buyse M, Michiels S. Evaluation of failure time surrogate endpoints in individual patient data meta-analyses of randomized clinical trials. A Poisson approach. Working paper.

Burzykowski T, Molenberghs G, Buyse M et al. Validation of surrogate end points in multiple randomized clinical trials with failure time end points. Journal of the Royal Statistical Society C 2001; 50:405–422. doi: 10.1111/1467-9876.00244.

Gasparrini A, Armstrong B, Kenward MG. Multivariate meta-analysis for non-linear and other multi-parameter associations. Statistics in Medicine 2012; 31:3821–39. doi: 10.1002/sim.5471

Burzykowski T, Molenberghs G, Buyse M (2005). The Evaluation of Surrogate Endpoints. Springer, New York. http://rd.springer.com/book/10.1007/b138566

See Also

Surrogate, mvmeta

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