chemotherapy

Edmunson et al (1979) studied the effect of different chemotherapy
treatments following surgical treatment of ovarian cancer.

datasets

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference.  It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions.  It contains MCMC algorithms for summarizing posterior distributions defined by the user.  It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Jim Albert

LearnBayes

Functions for Learning Bayesian Inference

chemotherapy function

A data frame with 26 observations on the following 5 variables.<dl class="dl-horizontal">
 <dt>patient</dt><dd>patient number</dd>
 <dt>time</dt><dd>survival time in days following treatment</dd>
 <dt>status</dt><dd>indicates if time is censored (0) or actually observed (1)</dd>
 <dt>treat</dt><dd>control group (0) or treatment group (1)</dd>
 <dt>age</dt><dd>age of the patient</dd>
 </dl>

Format

Chemotherapy treatment effects on ovarian cancer — chemotherapy

A data frame with 26 observations on the following 5 variables.<dl class='dl-horizontal'>
 <dt>patient</dt><dd>patient number</dd>
 <dt>time</dt><dd>survival time in days following treatment</dd>
 <dt>status</dt><dd>indicates if time is censored (0) or actually observed (1)</dd>
 <dt>treat</dt><dd>control group (0) or treatment group (1)</dd>
 <dt>age</dt><dd>age of the patient</dd>
 </dl>

chemotherapy: Chemotherapy treatment effects on ovarian cancer

Description

Usage

Arguments

Format