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SurrogateOutcome

Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information

Estimates the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored surrogate outcome/event. All methods are described in detail in Parast, et al (2020) "Assessing the Value of a Censored Surrogate Outcome" <doi:10.1007/s10985-019-09473-1> and Wang et al (2025) "Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival" <doi:10.1002/sim.70268>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateoutcome>.

Versions across snapshots

VersionRepositoryFileSize
1.2 rolling linux/jammy R-4.5 SurrogateOutcome_1.2.tar.gz 169.8 KiB
1.2 rolling linux/noble R-4.5 SurrogateOutcome_1.2.tar.gz 169.8 KiB
1.2 rolling source/ R- SurrogateOutcome_1.2.tar.gz 47.4 KiB
1.2 latest linux/jammy R-4.5 SurrogateOutcome_1.2.tar.gz 169.8 KiB
1.2 latest linux/noble R-4.5 SurrogateOutcome_1.2.tar.gz 169.8 KiB
1.2 latest source/ R- SurrogateOutcome_1.2.tar.gz 47.4 KiB
1.2 2026-04-26 source/ R- SurrogateOutcome_1.2.tar.gz 47.4 KiB
1.2 2026-04-23 source/ R- SurrogateOutcome_1.2.tar.gz 47.4 KiB
1.2 2026-04-09 windows/windows R-4.5 SurrogateOutcome_1.2.zip 173.6 KiB
1.1 2025-04-20 source/ R- SurrogateOutcome_1.1.tar.gz 47.2 KiB

Dependencies (latest)

Imports