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The log-rank test is performed to assess the survival outcomes between two group. When there is no proper control group or obtaining such data is cumbersome, one sample log-rank test can be applied. This package performs one sample log-rank test as described in Finkelstein et al. (2003)<doi:10.1093/jnci/djt227> and variation of the test for small sample sizes which is detailed in FD Liddell (1984)<doi:10.1136/jech.38.1.85> paper. Visualization function in the package generates Kaplan-Meier Curve comparing survival curve of the general population against that of the population of interest.
| Version: | 0.9.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | magrittr, dplyr, ggplot2, survival, survminer, rlang |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-02-03 |
| Author: | Divy Kangeyan [aut, cre], Jin Xie [aut] |
| Maintainer: | Divy Kangeyan <dkangeyan at kitepharma.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | OneSampleLogRankTest results |
| Reference manual: | OneSampleLogRankTest.pdf |
| Vignettes: |
oneSampleLogRankTest |
| Package source: | OneSampleLogRankTest_0.9.2.tar.gz |
| Windows binaries: | r-devel: OneSampleLogRankTest_0.9.2.zip, r-release: OneSampleLogRankTest_0.9.2.zip, r-oldrel: OneSampleLogRankTest_0.9.2.zip |
| macOS binaries: | r-release (arm64): OneSampleLogRankTest_0.9.2.tgz, r-oldrel (arm64): OneSampleLogRankTest_0.9.2.tgz, r-release (x86_64): OneSampleLogRankTest_0.9.2.tgz, r-oldrel (x86_64): OneSampleLogRankTest_0.9.2.tgz |
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