Quantile Comparison for Two-Sample Right-Censored Survival Data

Nonparametric two-sample procedure for comparing survival quantiles.


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Introduction

controlTest is an R package for nonparametric comparisons of survival quantiles.

Features

  • quantileSE: Find the standard error for a survival quantile via bootstrap.
  • quantileControlTest: Compare the survival quantiles of two independent samples via bootstrap.
  • supControlTest: (To be added in a later version)

Examples

library(controlTest)
t1 <- c(1, 63, 105, 129, 182, 216, 250, 262, 301, 301,
       342, 354, 356, 358, 380, 383, 383, 338, 394, 408, 460, 489,
       499, 523, 524, 535, 562, 569, 675, 676, 748, 778, 786, 797,
       955, 968, 1000, 1245, 1271, 1420, 1551, 1694, 2363, 2754, 2950)
t2 <- c(17, 42, 44, 48, 60, 72, 74, 95, 103, 108, 122, 144, 167, 170,
       183, 185, 193, 195, 197, 208, 234, 235, 254, 307, 315, 401, 445,
       464, 484, 528, 542, 547, 577, 580, 795, 855, 1366, 1577, 2060,
       2412, 2486, 2796, 2802, 2934, 2988)
c1 <- c(rep(1, 43), 0, 0)
c2 <- c(rep(1, 39), rep(0, 6))
quantileControlTest(t1, c1, t2, c2, q = 0.5, B = 500)

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Reference manual

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install.packages("controlTest")

1.1.0 by Eric S. Kawaguchi, 4 years ago


Browse source code at https://github.com/cran/controlTest


Authors: Eric S. Kawaguchi [aut, cre]


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL-3 license


Imports survival, graphics, stats


See at CRAN