sees_pop_data_pk_100_old_names

A subset of data from the SEES data, for examples and testing.

datasets

Translates antibody levels measured in cross-sectional
population samples into estimates of the frequency with which
seroconversions (infections) occur in the sampled populations.
Replaces the previous `seroincidence` package.

Kristina Lai

serocalculator

Estimating Infection Rates from Serological Data

Peter Teunis

Chris Orwa

Kristen Aiemjoy

Douglas Ezra Morrison

sees_pop_data_pk_100_old_names function

<div class="section" id="sees-pop-data-pk-old-names">
<h3><code>sees_pop_data_pk_100_old_names</code></h3>
A <code>pop_data</code> object (from <code>as_pop_data()</code>) with 200 rows and 8 columns:<dl>
<dt>index_id</dt>
<dd>Observation ID</dd><dt>Country</dt>
<dd>Country where the participant was living</dd><dt>cluster</dt>
<dd>survey sampling cluster</dd><dt>catchment</dt>
<dd>survey catchment area</dd><dt>Age</dt>
<dd>participant's age when sampled, in years</dd><dt>antigen_iso</dt>
<dd>which antigen and isotype are being measured
(data is in long format)</dd><dt>result</dt>
<dd>concentration of antigen isotype, in ELISA units</dd>
</dl></div>

Format

Small example cross-sectional data set — sees_pop_data_pk_100_old_names

<div class='section' id='sees-pop-data-pk-old-names'>
<h3><code>sees_pop_data_pk_100_old_names</code></h3>


A <code>pop_data</code> object (from <code>as_pop_data()</code>) with 200 rows and 8 columns:<dl>
<dt>index_id</dt>
<dd>Observation ID</dd>

<dt>Country</dt>
<dd>Country where the participant was living</dd>

<dt>cluster</dt>
<dd>survey sampling cluster</dd>

<dt>catchment</dt>
<dd>survey catchment area</dd>

<dt>Age</dt>
<dd>participant's age when sampled, in years</dd>

<dt>antigen_iso</dt>
<dd>which antigen and isotype are being measured
(data is in long format)</dd>

<dt>result</dt>
<dd>concentration of antigen isotype, in ELISA units</dd>


</dl>

</div>

sees_pop_data_pk_100_old_names: Small example cross-sectional data set

Description

Usage

Arguments

Format

`sees_pop_data_pk_100_old_names`