logOR

Case at upper triangle; control at lower triangle

Provides functions to specify, fit and visualize
nested partially-latent class models (
Wu, Deloria-Knoll, Hammitt, and Zeger (2016) <doi:10.1111/rssc.12101>;
Wu, Deloria-Knoll, and Zeger (2017) <doi:10.1093/biostatistics/kxw037>;
Wu and Chen (2021) <doi:10.1002/sim.8804>) for
inference of population disease etiology and individual diagnosis. In the motivating
Pneumonia Etiology Research for Child Health (PERCH) study, because both quantities
of interest sum to one hundred percent, the PERCH scientists frequently refer to
them as population etiology pie and individual etiology pie, hence the name of the package.

Zhenke Wu

baker

"Nested Partially Latent Class Models"

Scott Zeger

John Muschelli

Irena Chen

logOR function

<dl><dt>MBS.case</dt>
<dd>Case Bronze-Standard (BrS) data; rows for case subjects;
columns contain <code>JBrS</code> measurements</dd>
<dt>MBS.ctrl</dt>
<dd>Control Bronze-Standard (BrS) data; rows for control subjects;
columns contain <code>JBrS</code> measurements</dd></dl>

Arguments

calculate pairwise log odds ratios — logOR

<dl>

<dt>MBS.case</dt>
<dd>Case Bronze-Standard (BrS) data; rows for case subjects;
columns contain <code>JBrS</code> measurements</dd>


<dt>MBS.ctrl</dt>
<dd>Control Bronze-Standard (BrS) data; rows for control subjects;
columns contain <code>JBrS</code> measurements</dd>

</dl>

logOR: calculate pairwise log odds ratios

Description

Usage

Value

Arguments