mammography-datasets

mammography

observed

Data from a mammography screening program.
The dataset is not the original dataset, but an imputed dataset based on
the summary statistics available publicly.

datasets

Statistical methods for analyzing binary replicates, which are noisy
binary measurements of latent binary states. Provides scoring functions
(average, median, likelihood-based, and Bayesian) to estimate the probability
that an individual is in the positive state. Includes maximum a posteriori
estimation via the EM algorithm and full Bayesian inference via Stan.
Supports classification with inconclusive decisions and prevalence estimation.

Pierre Pudlo

BinaryReplicates

Dealing with Binary Replicates

Manuela Royez-Carenzi

Hadrien Lorenzo

mammography-datasets function

The data frame <code>mammography</code> has 148 rows and 3 variables<dl>
<dt>ti</dt>
<dd>True latent state of the individual (1=positive, 0=negative)</dd><dt>ni</dt>
<dd>Number of mammography tests performed for each individual</dd><dt>si</dt>
<dd>Number of positive mammography tests for each individual</dd>
</dl>The matrix <code>observed</code> is a 110x148 array with the observed replicates, one column
for each individual. The rows correspond to the replicates, and the values are either 0 or 1.

Format

A mammography dataset — mammography-datasets

The data frame <code>mammography</code> has 148 rows and 3 variables<dl>
<dt>ti</dt>
<dd>True latent state of the individual (1=positive, 0=negative)</dd>

<dt>ni</dt>
<dd>Number of mammography tests performed for each individual</dd>

<dt>si</dt>
<dd>Number of positive mammography tests for each individual</dd>


</dl>

The matrix <code>observed</code> is a 110x148 array with the observed replicates, one column
for each individual. The rows correspond to the replicates, and the values are either 0 or 1.

mammography-datasets: A mammography dataset

Description

Usage

Arguments

Format