Incidence of endometrial stromal polyps in \(k=70\) studys of female rats in control group of a 1977 study on the carcinogenic effects of a diabetic drug phenformin. For each of the \(k\) groups, \(y\) represents the number of rats who developed the tumors out of \(n\) total rats in the group.

datasets

A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. (2018, Technical Report, <arXiv:1802.00474>).

Doug Fletcher

BayesGOF

Bayesian Modeling via Goodness-of-Fit

rat function

A data frame of \((y_i, n_i)\) for \(i = 1,...,70\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>number of female rats in the \(i^{th}\) study who developed polyps/tumors</dd>
 <dt><code>n</code></dt><dd>total number of rats in the \(i^{th}\) study</dd>
 </dl>

Format

Rat Tumor Data — rat

A data frame of \((y_i, n_i)\) for \(i = 1,...,70\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>number of female rats in the \(i^{th}\) study who developed polyps/tumors</dd>
 <dt><code>n</code></dt><dd>total number of rats in the \(i^{th}\) study</dd>
 </dl>

rat: Rat Tumor Data

Description

Usage

Arguments

Format

References