ulcer

The data consist of \(k=40\) randomized trials between 1980 and 1989 of a surgical treatment for stomach ulcers. Each of the trials has an estimated log-odds ratio that measures the rate of occurrence of recurrent bleeding given the surgical treatment.

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

ulcer function

A data frame of \((y_i,\) se\(_i)\) for \(i = 1,...,40\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>log-odds of the occurrence of recurrent bleeding in the \(i^{th}\) study</dd>
 <dt><code>se</code></dt><dd>standard error of the log-odds for the \(i^{th}\) study</dd>
 </dl>

Format

Recurrent Bleeding of Ulcers — ulcer

A data frame of \((y_i,\) se\(_i)\) for \(i = 1,...,40\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>log-odds of the occurrence of recurrent bleeding in the \(i^{th}\) study</dd>
 <dt><code>se</code></dt><dd>standard error of the log-odds for the \(i^{th}\) study</dd>
 </dl>

ulcer: Recurrent Bleeding of Ulcers

Description

Usage

Arguments

Format

References