The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
We provide a non-parametric and a parametric approach to investigate the equivalence (or non-inferiority) of two survival curves, obtained from two given datasets. The test is based on the creation of confidence intervals at pre-specified time points. For the non-parametric approach, the curves are given by Kaplan-Meier curves and the variance for calculating the confidence intervals is obtained by Greenwood's formula. The parametric approach is based on estimating the underlying distribution, where the user can choose between a Weibull, Exponential, Gaussian, Logistic, Log-normal or a Log-logistic distribution. Estimates for the variance for calculating the confidence bands are obtained by a (parametric) bootstrap approach. For this bootstrap censoring is assumed to be exponentially distributed and estimates are obtained from the datasets under consideration. All details can be found in K.Moellenhoff and A.Tresch: Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data <doi:10.48550/arXiv.2009.06699>.
| Version: | 0.1.0 |
| Depends: | survival, eha, graphics |
| Published: | 2020-09-23 |
| DOI: | 10.32614/CRAN.package.EquiSurv |
| Author: | Kathrin Moellenhoff |
| Maintainer: | Kathrin Moellenhoff <kathrin.moellenhoff at rub.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | EquiSurv results |
| Reference manual: | EquiSurv.pdf |
| Package source: | EquiSurv_0.1.0.tar.gz |
| Windows binaries: | r-devel: EquiSurv_0.1.0.zip, r-release: EquiSurv_0.1.0.zip, r-oldrel: EquiSurv_0.1.0.zip |
| macOS binaries: | r-release (arm64): EquiSurv_0.1.0.tgz, r-oldrel (arm64): EquiSurv_0.1.0.tgz, r-release (x86_64): EquiSurv_0.1.0.tgz, r-oldrel (x86_64): EquiSurv_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=EquiSurv to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.