diseased

A dataset containing the N, mean, stdDev, titers of diseased subjects. The dataset is provided in the form of population class object (see the <code>Population-class</code> function for more details).

datasets

Set of functions that implement the PoDBAY method, described in the publication 'A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data' by Julie Dudasova, Regina Laube, Chandni Valiathan, Matthew C. Wiener, Ferdous Gheyas, Pavel Fiser, Justina Ivanauskaite, Frank Liu and Jeffrey R. Sachs (NPJ Vaccines, 2021), <doi:10.1038/s41541-021-00377-6>.

Julie Dudasova (MSD)

PoDBAY

Vaccine Efficacy Estimation Package

Pavel Fiser (MSD)

Tomas Bartonek (MSD)

Regina Laube (MSD)

diseased function

Population class object:<dl class="dl-horizontal">
 <dt>N</dt><dd>number of subjects</dd>
 <dt>mean</dt><dd>mean of titers</dd>
 <dt>stdDev</dt><dd>standard deviation of titers</dd>
 <dt>titers</dt><dd>subject level titers</dd>
</dl>

Format

Dataset containing the information for diseased subjects — diseased

Population class object:<dl class='dl-horizontal'>
 <dt>N</dt><dd>number of subjects</dd>
 <dt>mean</dt><dd>mean of titers</dd>
 <dt>stdDev</dt><dd>standard deviation of titers</dd>
 <dt>titers</dt><dd>subject level titers</dd>
</dl>

diseased: Dataset containing the information for diseased subjects

Description

Usage

Arguments

Format