survAH-package: Survival Data Analysis using Average Hazard
In survAH: Survival Data Analysis using Average Hazard
survAH-package R Documentation
Survival Data Analysis using Average Hazard
Description
The survAH package performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.
Author(s)
Hajime Uno, Miki Horiguchi
References
Uno H and Horiguchi M. Ratio and difference of average hazard with survival weight: new measures to quantify survival benefit of new therapy. Statistics in Medicine. 2023;1-17. <doi:10.1002/sim.9651>
See Also
survival survRM2 surv2sampleComp
survAH documentation built on Jan. 18, 2023, 1:07 a.m.
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| survAH-package | R Documentation |
Survival Data Analysis using Average Hazard
Description
The survAH package performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.
Author(s)
Hajime Uno, Miki Horiguchi
References
Uno H and Horiguchi M. Ratio and difference of average hazard with survival weight: new measures to quantify survival benefit of new therapy. Statistics in Medicine. 2023;1-17. <doi:10.1002/sim.9651>
See Also
survival survRM2 surv2sampleComp
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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