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

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

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 (Rotolo et al, 2017 <DOI:10.1177/0962280217718582>).

Details

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Author(s)

Federico Rotolo [aut] (<https://orcid.org/0000-0003-4837-6501>), Xavier Paoletti [ctb], Marc Buyse [ctb], Tomasz Burzykowski [ctb], Stefan Michiels [ctb] (<https://orcid.org/0000-0002-6963-2968>), Dan Chaltiel [cre] (<https://orcid.org/0000-0003-3488-779X>)

Maintainer: Dan Chaltiel <[e-mail]>

References

Rotolo F, Paoletti X, Burzykowski T, Buyse M, Michiels S. A Poisson approach for the validation of failure time surrogate endpoints in individual patient data meta-analyses. Statistical Methods in Medical Research 2017; In Press. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0962280217718582")}

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. \Sexpr[results=rd]{tools:::Rd_expr_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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.5471")}

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

See Also

Surrogate, mvmeta

surrosurv documentation built on April 14, 2023, 9:09 a.m.