createExposure

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

createExposure function

<dl><dt>exposureId</dt>
<dd>An integer used to identify the exposure in the exposure cohort table.</dd>
<dt>exposureIdRef</dt>
<dd>A string used to refer to the exposure when defining covariates using the
<code>createEraCovariateSettings()</code> function.</dd>
<dt>trueEffectSize</dt>
<dd>For negative and positive controls: the known true effect size. To be
used for empirical calibration. Negative controls have
<code>trueEffectSize = 1</code>. If the true effect size is unknown, use
<code>trueEffectSize = NA</code>.</dd></dl>

Arguments

Create exposure definition — createExposure

<dl>

<dt>exposureId</dt>
<dd>An integer used to identify the exposure in the exposure cohort table.</dd>


<dt>exposureIdRef</dt>
<dd>A string used to refer to the exposure when defining covariates using the
<code>createEraCovariateSettings()</code> function.</dd>


<dt>trueEffectSize</dt>
<dd>For negative and positive controls: the known true effect size. To be
used for empirical calibration. Negative controls have
<code>trueEffectSize = 1</code>. If the true effect size is unknown, use
<code>trueEffectSize = NA</code>.</dd>

</dl>

createExposure: Create exposure definition

Description

Usage

Value

Arguments

Details