infections

<p>Hospital acquired infections (HAI) during 41 months.</p>

datasets

Conducts analyses for healthcare program evaluations or intervention
studies. Calculates regression analyses for standard ordinary least squares
(OLS or linear) or logistic models. Performs regression models used for
causal modeling such as differences-in-differences (DID) and interrupted
time series (ITS) models. Provides limited interpretations of model
results and a ranking of variable importance in models. Performs
propensity score models, top-coding of model outcome variables, and
can return new data with the newly formed variables. Conducts Bayesian
analysis summaries and graphs, decision curve analysis, and produces some
Shewhart control charts. Also performs Cronbach's  alpha for various scale
items (e.g., survey questions). See Github URL for examples in the README
file. For more details on the statistical methods, see
Allen & Yen (1979, ISBN:0-8185-0283-5),
Angrist & Pischke (2009, ISBN:9780691120355),
Cohen (1988, ISBN:0-8058-0283-5),
Gebski (2012) <doi:10.1017/S0950268812000179>,
Gelman & Goodrich (2019) <doi:10.1080/00031305.2018.1549100>,
Harrell (2016, ISBN:978-3-319-19424-0),
Kline (1999, ISBN:9780415211581),
Kruschke (2014, ISBN:9780124058880),
Linden (2015) <doi:10.1177/1536867X1501500208>,
Merlo (2006) <doi:10.1136/jech.2004.029454>,
Muthen & Satorra (1995) <doi:10.2307/271070>,
Rabe-Hesketh & Skrondal (2008, ISBN:978-1-59718-040-5),
Ryan (2011, ISBN:978-0-470-59074-4), and
Vickers & Elkin (2006) <doi:10.1177/0272989X06295361>.

Stephen Zuniga

Healthcare Analysis Methods

infections function


<div class="section" id="infections">
<h3><code>infections</code></h3><p></p><p>
</p><p>An artificial data frame with 41 rows and 3 columns:</p><dl>
<dt> Month </dt>
<dd><p>Calendar month as an integer, ranging from 1 to 41.</p></dd><p></p><p><dt> HAI </dt>
<dd><p>Count of hospital acquired infections (HAI) within 1 month.</p></dd></p><p><dt> PatientDays </dt>
<dd><p>Count of hospital patient days within 1 month (i.e., the sum of days in the hospital for all patients).</p></dd></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

Hospital acquired infections (HAI) during 41 months. — infections


<div class='section' id='infections'>
<h3><code>infections</code></h3>


<p>An artificial data frame with 41 rows and 3 columns:</p><dl>
<dt> Month </dt>
<dd><p>Calendar month as an integer, ranging from 1 to 41.</p></dd>

<dt> HAI </dt>
<dd><p>Count of hospital acquired infections (HAI) within 1 month.</p></dd>

<dt> PatientDays </dt>
<dd><p>Count of hospital patient days within 1 month (i.e., the sum of days in the hospital for all patients).</p></dd>

...

</dl>

</div>


infections: Hospital acquired infections (HAI) during 41 months.

Description

Usage

Arguments

Format

`infections`