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OneSampleLogRankTest  

One-Sample Log-Rank Test
View on CRAN: Click here


Download and install OneSampleLogRankTest package within the R console
Install from CRAN:
install.packages("OneSampleLogRankTest")

Install from Github:
library("remotes")
install_github("cran/OneSampleLogRankTest")

Install by package version:
library("remotes")
install_version("OneSampleLogRankTest", "0.9.2")



Attach the package and use:
library("OneSampleLogRankTest")
Maintained by
Divy Kangeyan
[Scholar Profile | Author Map]
First Published: 2024-02-03
Latest Update: 2024-02-03
Description:
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) and variation of the test for small sample sizes which is detailed in FD Liddell (1984) paper. Visualization function in the package generates Kaplan-Meier Curve comparing survival curve of the general population against that of the population of interest.
How to cite:
Divy Kangeyan (2024). OneSampleLogRankTest: One-Sample Log-Rank Test. R package version 0.9.2, https://cran.r-project.org/web/packages/OneSampleLogRankTest. Accessed 13 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for OneSampleLogRankTest
Functions, R codes and Examples using the OneSampleLogRankTest R package
Some associated functions: dataPop_1999_2020 . dataPop_2018_2021 . dataPop_2018_2021_race_sex_eth . dataSurv . dataSurv_small . findMatchedCumuSurvProb . oneSampleLogRankTest . plotKM . simulated_clinical_data . 
Some associated R codes: oneSampleLogRankTest.R .  Full OneSampleLogRankTest package functions and examples
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