createStudyPopulation

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

createStudyPopulation function

<dl><dt>sccsData</dt>
<dd>An object of type SccsData as created using the
getDbSccsData function.</dd>
<dt>outcomeId</dt>
<dd>The outcome to create the era data for. If not specified it is
assumed to be the one outcome for which the data was loaded from
the database.</dd>
<dt>createStudyPopulationArgs</dt>
<dd>An object of type <code>CreateStudyPopulationArgs</code> as created using the
<code>createCreateStudyPopulationArgs()</code> function.</dd></dl>

Arguments

Create a study population — createStudyPopulation

<dl>

<dt>sccsData</dt>
<dd>An object of type SccsData as created using the
getDbSccsData function.</dd>


<dt>outcomeId</dt>
<dd>The outcome to create the era data for. If not specified it is
assumed to be the one outcome for which the data was loaded from
the database.</dd>


<dt>createStudyPopulationArgs</dt>
<dd>An object of type <code>CreateStudyPopulationArgs</code> as created using the
<code>createCreateStudyPopulationArgs()</code> function.</dd>

</dl>

createStudyPopulation: Create a study population

Description

Usage

Value

Arguments

Details