A simulated data set with a longitudinal variable and a survival variable

datasets

Fits a model to data separately for each treatment group and then calculates the win-Ratio as a function of follow-up time.

David A Schoenfeld

winRatioAnalysis

Estimates the Win-Ratio as a Function of Time

als function

A data frame with 312 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>subjects</code></dt><dd>A subject indicator</dd>
 <dt><code>trt</code></dt><dd>A treatment indicator</dd>
 <dt><code>surv</code></dt><dd>The patient's survival time or last follow up time</dd>
 <dt><code>csurv</code></dt><dd>An indicator that the patient died</dd>
 <dt><code>times</code></dt><dd>The time that the longitudinal variable is observed</dd>
 <dt><code>ALSFRS</code></dt><dd>The longitudinal variable</dd>
 </dl>

Format

Example data set with a longitudinal variable — als

A data frame with 312 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>subjects</code></dt><dd>A subject indicator</dd>
 <dt><code>trt</code></dt><dd>A treatment indicator</dd>
 <dt><code>surv</code></dt><dd>The patient's survival time or last follow up time</dd>
 <dt><code>csurv</code></dt><dd>An indicator that the patient died</dd>
 <dt><code>times</code></dt><dd>The time that the longitudinal variable is observed</dd>
 <dt><code>ALSFRS</code></dt><dd>The longitudinal variable</dd>
 </dl>

als: Example data set with a longitudinal variable

Description

Usage

Arguments

Format