follic

Competing risk data set involving follicular cell lymphoma from Pintilie (2007)

datasets

Uses inverse probability weighting methods to estimate treatment effect under marginal structure model for the cause-specific hazard of competing risk events. Estimates also the cumulative incidence function (i.e. risk) of the potential outcomes, and provides inference on risk difference and risk ratio. Reference: Kalbfleisch & Prentice (2002)<doi:10.1002/9781118032985>; Hernan et al (2001)<doi:10.1198/016214501753168154>.

Yiran Zhang

cmprskcoxmsm

Use IPW to Estimate Treatment Effect under Competing Risks

follic function

A data frame containing:<dl class="dl-horizontal">
 <dt><code>age</code></dt><dd>age</dd>
 <dt><code>hgb</code></dt><dd>hemoglobin (g/l)</dd>
 <dt><code>clinstg</code></dt><dd>clinical stage: 1=stage I, 2=stage II</dd>
 <dt><code>ch</code></dt><dd>chemotherapy</dd>
 <dt><code>rt</code></dt><dd>radiotherapy</dd>
 <dt><code>time</code></dt><dd>first failure time</dd>
 <dt><code>status</code></dt><dd>Reason of failure: 1: Relapse, 2: Death, 0: No response</dd>
 </dl>

Format

Follicular cell lymphoma study — follic

A data frame containing:<dl class='dl-horizontal'>
 <dt><code>age</code></dt><dd>age</dd>
 <dt><code>hgb</code></dt><dd>hemoglobin (g/l)</dd>
 <dt><code>clinstg</code></dt><dd>clinical stage: 1=stage I, 2=stage II</dd>
 <dt><code>ch</code></dt><dd>chemotherapy</dd>
 <dt><code>rt</code></dt><dd>radiotherapy</dd>
 <dt><code>time</code></dt><dd>first failure time</dd>
 <dt><code>status</code></dt><dd>Reason of failure: 1: Relapse, 2: Death, 0: No response</dd>
 </dl>

follic: Follicular cell lymphoma study

Description

Usage

Arguments

Format

References