computePreExposureGainP

This function is deprecated. Use <code>computePreExposureGain()</code> instead.

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

computePreExposureGainP function

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

Arguments

Compute P for pre-exposure risk gain — computePreExposureGainP

<dl>

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


<dt>studyPopulation</dt>
<dd>An object created using the <code>createStudyPopulation()</code> function.</dd>


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

</dl>

computePreExposureGainP: Compute P for pre-exposure risk gain

Description

Usage

Value

Arguments