CRAN/E | npsurvSS

npsurvSS

Sample Size and Power Calculation for Common Non-Parametric Tests in Survival Analysis

Installation

About

A number of statistical tests have been proposed to compare two survival curves, including the difference in (or ratio of) t-year survival, difference in (or ratio of) p-th percentile survival, difference in (or ratio of) restricted mean survival time, and the weighted log-rank test. Despite the multitude of options, the convention in survival studies is to assume proportional hazards and to use the unweighted log-rank test for design and analysis. This package provides sample size and power calculation for all of the above statistical tests with allowance for flexible accrual, censoring, and survival (eg. Weibull, piecewise-exponential, mixture cure). It is the companion R package to the paper by Yung and Liu (2020) doi:10.1111/biom.13196. Specific to the weighted log-rank test, users may specify which approximations they wish to use to estimate the large-sample mean and variance. The default option has been shown to provide substantial improvement over the conventional sample size and power equations based on Schoenfeld (1981) doi:10.1093/biomet/68.1.316.

github.com/godwinyyung/npsurvSS
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.4.0
Published 2024-05-08 149 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Godwin Yung

Authors

Godwin Yung

aut / cre

Yi Liu

aut

Material

Reference manual
Package source

Vignettes

Basic functionalities
Example 1: Optimal randomization ratio
Example 2: Delayed treatment effect

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

npsurvSS archive

Depends

R ≥ 3.4.0

Imports

stats
utils

Suggests

knitr
rmarkdown
dplyr
tidyr
tibble
ggplot2

Reverse Imports

gsDesign2