Package: SurrogateTest 1.3
SurrogateTest: Early Testing for a Treatment Effect using Surrogate Marker Information
Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. <doi:10.1111/biom.13067>.
Authors:
SurrogateTest_1.3.tar.gz
SurrogateTest_1.3.zip(r-4.5)SurrogateTest_1.3.zip(r-4.4)SurrogateTest_1.3.zip(r-4.3)
SurrogateTest_1.3.tgz(r-4.4-any)SurrogateTest_1.3.tgz(r-4.3-any)
SurrogateTest_1.3.tar.gz(r-4.5-noble)SurrogateTest_1.3.tar.gz(r-4.4-noble)
SurrogateTest_1.3.tgz(r-4.4-emscripten)SurrogateTest_1.3.tgz(r-4.3-emscripten)
SurrogateTest.pdf |SurrogateTest.html✨
SurrogateTest/json (API)
| # Install 'SurrogateTest' in R: |
| install.packages('SurrogateTest', repos = c('https://laylaparast.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:666a44f15b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:censor.weightcumsum2delta.ea.singledelta.eb.singledelta.estimatedesign.studyearly.delta.testhelper.siint.hazcint.hazc.planKern.FUNpred.smooth.surv.newrecover.Bvar.delta.ebVTM
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hypothetical Study A data | dataA |
| Hypothetical Study B data | dataB |
| Calculates the treatment effect, the difference in survival at time t | delta.estimate |
| Power and sample size calculation for designing a future study | design.study |
| Estimate and test the early treatment effect | early.delta.test |
| Recover an estimate of the treatment effect at time t in Study B | recover.B |
