SurvBin Package

Description

The SurvBin package contains four key functions:

  • lstats to compute the standardized L-statistic (with pooled/unpooled variance estimators);
  • lstats_boots to compute the standardized L-statistic (with bootstrap variance estimator);
  • survtest to compute the Weighted Kaplan-Meier based-test;
  • bintest to compute the proportions’ test.

The SurvBin package also provides the function survbinCov that can be used to calculate the covariance between the survival and binary statistics; and the function simsurvbin for simulating bivariate binary and survival data.

More information can be found at: https://martabofillroig.github.io/SurvBin/

Installation

# install.packages("devtools")
library(devtools)
install_github("MartaBofillRoig/SurvBin")

References

This repository also contains the source files of the preprint:

  • “A class of two-sample nonparametric statistics for binary and time-to-event outcomes”. Marta Bofill Roig, Guadalupe Gómez Melis. (2020). https://arxiv.org/abs/2002.01369

Specifically, in the folder CODE_paper/CaseStudy, there is the source code for reproduce the illustration; and in the folder CODE_paper/Extension_Simulation, there is the code to reproduce the simulation study (see Extension_Simulation subfolder).