<p>Artificial data of a 5 item hospital satisfaction survey
for a Cronbach's alpha scale (cas).</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. 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),
Harrell (2016, ISBN:978-3-319-19424-0),
Kline (1999, ISBN:9780415211581), and
Linden (2015) <doi:10.1177/1536867X1501500208>.

Stephen Zuniga

Healthcare Analysis Methods

cas function


<div class="section" id="cas">
<h3><code>cas</code></h3><p></p><p>
</p><p>An artificial data frame with 100 rows and 5 columns:</p><dl>
<dt>i1 - i5</dt>
<dd><p>5 survey items</p></dd><p></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

Patient survey data — cas


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


<p>An artificial data frame with 100 rows and 5 columns:</p><dl>
<dt>i1 - i5</dt>
<dd><p>5 survey items</p></dd>

...

</dl>

</div>


cas: Patient survey data

Description

Usage

Arguments

Format

`cas`