terb

During several studies of the oral antifungal agent terbinafine, a proportion of the patients in the trial terminated treatment due to some adverse effects. In the data set, \(y_i\) is the number of terminated treatments and \(n_i\) is the total number of patients in the in the \(i^{th}\) trial.

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

terb function

A data frame of \((y_i, n_i)\) for \(i = 1,...,41\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>number of patients who terminated treatment early in the \(i^{th}\) trial</dd>
 <dt><code>n</code></dt><dd>total number of patients in the \(i^{th}\) clinical trial</dd>
 </dl>

Format

Terbinafine trial data — terb

A data frame of \((y_i, n_i)\) for \(i = 1,...,41\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>number of patients who terminated treatment early in the \(i^{th}\) trial</dd>
 <dt><code>n</code></dt><dd>total number of patients in the \(i^{th}\) clinical trial</dd>
 </dl>

terb: Terbinafine trial data

Description

Usage

Arguments

Format