surg

Data involves the number of malignant lymph nodes removed during intestinal surgery for \(k=844\) cancer patients. For each patient, \(n\) is the total number of satellite nodes removed during surgery from a patient and \(y\) is the number of malignant nodes.

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

surg function

A data frame of \((y_i, n_i)\) for \(i = 1,...,844\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>number of malignant lymph nodes removed from the \(i^{th}\) patient</dd>
 <dt><code>n</code></dt><dd>total number of lymph nodes removed from the \(i^{th}\) patient</dd>
 </dl>

Format

Intestinal surgery data — surg

A data frame of \((y_i, n_i)\) for \(i = 1,...,844\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>number of malignant lymph nodes removed from the \(i^{th}\) patient</dd>
 <dt><code>n</code></dt><dd>total number of lymph nodes removed from the \(i^{th}\) patient</dd>
 </dl>

surg: Intestinal surgery data

Description

Usage

Arguments

Format