In umich-biostatistics/corrsurv: Two-Sample Tests for Correlated Survival Endpoints

knitr::opts_chunk$set(echo = TRUE, eval = FALSE)

About

Collection of two-sample tests for treatment effects with paired censored survival data and recurrent events survival data. The methods are implementations of three papers by Susan Murray and Nabihah Tayob.

Install

First, install and load the corrsurv package from Github using the following code:

If you have not installed devtools, run the following:

install.packages("devtools")

If devtools is sucessfully installed, run:

if(!require(corrsurv)) {
  library(devtools)
  install_github('umich-biostatistics/corrsurv') 
}

Load the package:

library(corrsurv)

Summary of methods

This package implements methods from the following three papers by Tayob and Murray:

Method 1: Murray, 2000

Description

Perform two-sample tests for treatment effects with paired censored survival data.

Reference

Murray, Susan. Nonparametric Rank-Based Methods for Group Sequential Monitoring of Paired Censored Survival Data. 2000. Biometrics, 56, pp. 984-990.

Jump to the pairtest() section for the methods from this paper.

Method 2: Tayob and Murray, 2014

Description

Perform the Tayob and Murray two-sample recurrent events test.

Reference

Tayob, N. and Murray, S., 2014. Nonparametric tests of treatment effect based on combined endpoints for mortality and recurrent events. Biostatistics, 16(1), pp.73-83.

Jump to the TM() section for the methods from this paper.

Method 3: Tayob and Murray, 2016

Description

Estimate the tau-restricted mean survival across multiple follow-up intervals.

Reference

Tayob, N. and Murray, S., 2016. Nonparametric restricted mean analysis across multiple follow-up intervals. Statistics & probability letters, 109, pp.152-158.

Jump to the TM2() section for the methods from this paper.

Results

vignette("learn-corrsurv")

umich-biostatistics/corrsurv documentation built on Jan. 11, 2020, 2:03 a.m.