covid19_austria

Data collected in Austria in 2020 (see e.g. SORA, 2020; Kowarik et al., 2021, for more details),
allowing to estimate COVID-19 prevalence.

datasets

A system contains easy-to-use tools for the conditional estimation of the prevalence of an emerging or rare infectious diseases using the methods proposed in Guerrier et al. (2023) <arXiv:2012.10745>.

St<c3><a9>phane Guerrier

pempi

Proportion Estimation with Marginal Proxy Information

Stéphane Guerrier

Maria-Pia Victoria-Feser

Christoph Kuzmics

covid19_austria function

A <code>matrix</code> with 2290 rows and 3 variables:<dl>
 <dt>Y</dt>
<dd>Binary variable, 1 if participant i is tested positive in the survey sample, 0 otherwise.</dd> <dt>Z</dt>
<dd>Binary variable, 1 if participant i was declared positive with the official procedure, 0 otherwise.</dd> <dt>weights</dt>
<dd>Sampling weights.</dd>
</dl>

Format

COVID-19 Data from Statistics Austria — covid19_austria

A <code>matrix</code> with 2290 rows and 3 variables:<dl>
 <dt>Y</dt>
<dd>Binary variable, 1 if participant i is tested positive in the survey sample, 0 otherwise.</dd>

 <dt>Z</dt>
<dd>Binary variable, 1 if participant i was declared positive with the official procedure, 0 otherwise.</dd>

 <dt>weights</dt>
<dd>Sampling weights.</dd>


</dl>

covid19_austria: COVID-19 Data from Statistics Austria

Description

Usage

Arguments

Format