OneSampleLogRankTest: One-Sample Log-Rank Test

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

Documentation:

Reference manual: OneSampleLogRankTest.pdf
Vignettes: oneSampleLogRankTest

Downloads:

Package source: OneSampleLogRankTest_0.9.2.tar.gz
Windows binaries: r-prerel: OneSampleLogRankTest_0.9.2.zip, r-release: OneSampleLogRankTest_0.9.2.zip, r-oldrel: OneSampleLogRankTest_0.9.2.zip
macOS binaries: r-prerel (arm64): OneSampleLogRankTest_0.9.2.tgz, r-release (arm64): OneSampleLogRankTest_0.9.2.tgz, r-oldrel (arm64): OneSampleLogRankTest_0.9.2.tgz, r-prerel (x86_64): OneSampleLogRankTest_0.9.2.tgz, r-release (x86_64): OneSampleLogRankTest_0.9.2.tgz

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