summarize_BrS

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

summarize_BrS function

<dl><dt>BrS_dat</dt>
<dd>bronze-standard data, which is usually <code>data_nplcm$Mobs$MBS[[1]]</code></dd>
<dt>Y</dt>
<dd>A vector of case/control status: 1 for case; 0 for control</dd></dl>

Arguments

summarize bronze-standard data — summarize_BrS

<dl>

<dt>BrS_dat</dt>
<dd>bronze-standard data, which is usually <code>data_nplcm$Mobs$MBS[[1]]</code></dd>


<dt>Y</dt>
<dd>A vector of case/control status: 1 for case; 0 for control</dd>

</dl>

summarize_BrS: summarize bronze-standard data

Description

Usage

Value

Arguments

See Also

Examples