breastcancer

Collett (1994) describes a study to evaluate the effectiveness of a
histochemical marker in predicting the survival experience of women with
breast 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

breastcancer function

A data frame with 45 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt>time</dt><dd>survival time in months</dd>
 <dt>status</dt><dd>censoring indicator where 1 (0) indicates a complete (censored) survival time</dd>
 <dt>stain</dt><dd>indicates by a 0 (1) if tumor was negatively (positively) stained</dd>
 </dl>

Format

Survival experience of women with breast cancer under treatment — breastcancer

A data frame with 45 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt>time</dt><dd>survival time in months</dd>
 <dt>status</dt><dd>censoring indicator where 1 (0) indicates a complete (censored) survival time</dd>
 <dt>stain</dt><dd>indicates by a 0 (1) if tumor was negatively (positively) stained</dd>
 </dl>

breastcancer: Survival experience of women with breast cancer under treatment

Description

Usage

Arguments

Format