This dataset provides a simulated example for the pssm and NP method of calculating the winRatio and it's components over time

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

dat function

A data frame with 200 observations on the following 7 variables.<dl class="dl-horizontal">
 <dt><code>tprog0</code></dt><dd>Last time the patient was observed to be free of progression</dd>
 <dt><code>tprog1</code></dt><dd>The first time the patient was observed to have progressed</dd>
 <dt><code>cdeath</code></dt><dd>An indicator that the patient has died 1=death</dd>
 <dt><code>tdeath</code></dt><dd>The time of death or last follow up time</dd>
 <dt><code>rx</code></dt><dd>Treatment indicator(0 or 1)</dd>
 <dt><code>cprog</code></dt><dd>An indicator of progression</dd>
 <dt><code>tprogression</code></dt><dd>Exact time of progression or last follow up time</dd>
 </dl>

Format

Example dataset with progression and survival — dat

A data frame with 200 observations on the following 7 variables.<dl class='dl-horizontal'>
 <dt><code>tprog0</code></dt><dd>Last time the patient was observed to be free of progression</dd>
 <dt><code>tprog1</code></dt><dd>The first time the patient was observed to have progressed</dd>
 <dt><code>cdeath</code></dt><dd>An indicator that the patient has died 1=death</dd>
 <dt><code>tdeath</code></dt><dd>The time of death or last follow up time</dd>
 <dt><code>rx</code></dt><dd>Treatment indicator(0 or 1)</dd>
 <dt><code>cprog</code></dt><dd>An indicator of progression</dd>
 <dt><code>tprogression</code></dt><dd>Exact time of progression or last follow up time</dd>
 </dl>

dat: Example dataset with progression and survival

Description

Usage

Arguments

Format