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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, 2017 <DOI:10.1177/0962280217718582>).

Versions across snapshots

VersionRepositoryFileSize
1.1.27 rolling linux/jammy R-4.5 surrosurv_1.1.27.tar.gz 698.7 KiB
1.1.27 rolling linux/noble R-4.5 surrosurv_1.1.27.tar.gz 698.6 KiB
1.1.27 rolling source/ R- surrosurv_1.1.27.tar.gz 783.2 KiB
1.1.27 latest linux/jammy R-4.5 surrosurv_1.1.27.tar.gz 698.7 KiB
1.1.27 latest linux/noble R-4.5 surrosurv_1.1.27.tar.gz 698.6 KiB
1.1.27 latest source/ R- surrosurv_1.1.27.tar.gz 783.2 KiB
1.1.27 2026-04-26 source/ R- surrosurv_1.1.27.tar.gz 783.2 KiB
1.1.27 2026-04-23 source/ R- surrosurv_1.1.27.tar.gz 783.2 KiB
1.1.27 2026-04-09 windows/windows R-4.5 surrosurv_1.1.27.zip 701.3 KiB
1.1.26 2025-04-20 source/ R- surrosurv_1.1.26.tar.gz 789.6 KiB

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