plotCalendarTimeEffect

Execute the self-controlled case series (SCCS) design using observational
data in the OMOP Common Data Model. Extracts all necessary data from the database and
transforms it to the format required for SCCS. Age and season can be modeled
using splines assuming constant hazard within calendar months. Event-dependent
censoring of the observation period can be corrected for. Many exposures can be
included at once (MSCCS), with regularization on all coefficients except for the
exposure of interest. Includes diagnostics for all major assumptions of the SCCS.

Martijn Schuemie

SelfControlledCaseSeries

Self-Controlled Case Series

Patrick Ryan

Trevor Shaddox

Marc Suchard

plotCalendarTimeEffect function

<dl><dt>sccsModel</dt>
<dd>An object of type <code>sccsModel</code> as created using the
<code>fitSccsModel</code> function.</dd>
<dt>rrLim</dt>
<dd>The limits on the incidence rate ratio scale in the plot.</dd>
<dt>title</dt>
<dd>Optional: the main title for the plot</dd>
<dt>fileName</dt>
<dd>Name of the file where the plot should be saved, for example 'plot.png'. See the
function <code>ggsave</code> in the ggplot2 package for supported file formats.</dd></dl>

Arguments

Plot the calendar time effect — plotCalendarTimeEffect

<dl>

<dt>sccsModel</dt>
<dd>An object of type <code>sccsModel</code> as created using the
<code>fitSccsModel</code> function.</dd>


<dt>rrLim</dt>
<dd>The limits on the incidence rate ratio scale in the plot.</dd>


<dt>title</dt>
<dd>Optional: the main title for the plot</dd>


<dt>fileName</dt>
<dd>Name of the file where the plot should be saved, for example 'plot.png'. See the
function <code>ggsave</code> in the ggplot2 package for supported file formats.</dd>

</dl>

plotCalendarTimeEffect: Plot the calendar time effect

Description

Usage

Value

Arguments

Details