PHdata

PHdata is a dataset from simulation, which is satisfied the proportional hazard ratio assumption.

Various statistical methods for survival analysis in comparing survival curves between two groups, including overall hypothesis tests described in Li et al. (2015) <doi:10.1371/journal.pone.0116774> and Huang et al. (2020) <doi:10.1080/03610918.2020.1753075>, fixed-point tests in Klein et al. (2007) <doi:10.1002/sim.2864>, short-term tests, and long-term tests in Logan et al. (2008) <doi:10.1111/j.1541-0420.2007.00975.x>. Some commonly used descriptive statistics and plots are also included.

Zheng Chen

ComparisonSurv

Comparison of Survival Curves Between Two Groups

Jingjing Lyu

Huimin Li

Jinbao Chen

Xinghui Huang

PHdata function

A data frame with 200 observations on the following 3 variables.<dl>
<dt>time</dt>
<dd>The follow up time for right censored data.</dd><dt>status</dt>
<dd>The status indicator, normally 1=event, 0=alive or right censored.</dd><dt>group</dt>
<dd>The group indicator for comparison, 0= control group, 1= treatment group.</dd>
</dl>

Format

The Data Satisfied Proportional Hazard Assumption — PHdata

A data frame with 200 observations on the following 3 variables.<dl>
<dt>time</dt>
<dd>The follow up time for right censored data.</dd>

<dt>status</dt>
<dd>The status indicator, normally 1=event, 0=alive or right censored.</dd>

<dt>group</dt>
<dd>The group indicator for comparison, 0= control group, 1= treatment group.</dd>


</dl>

PHdata: The Data Satisfied Proportional Hazard Assumption

Description

Usage

Arguments

Format

Examples