checkEventObservationIndependenceAssumption

This diagnostic tests whether there is a dependency between the event and the end of observation.
It does so by adding a probe window at the end of observation, and checking whether the rate of
the outcome is elevated (or decreased) during this window.
The end of observation probe window will automatically be added to the model by the
<code>createSccsIntervalData()</code> function, unless the <code>endOfObservationEraLength</code> argument is set to 0.
This function extracts the estimate for that window from the model, and compares it to the
<code>nullBounds</code>.#'

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

checkEventObservationIndependenceAssumption function

<dl><dt>sccsModel</dt>
<dd>A fitted SCCS model as created using <code>fitSccsModel()</code>.</dd>
<dt>nullBounds</dt>
<dd>The bounds for the null hypothesis on the incidence rate ratio scale.</dd></dl>

Arguments

Check diagnostic for event-dependent observation end — checkEventObservationIndependenceAssumption

<dl>

<dt>sccsModel</dt>
<dd>A fitted SCCS model as created using <code>fitSccsModel()</code>.</dd>


<dt>nullBounds</dt>
<dd>The bounds for the null hypothesis on the incidence rate ratio scale.</dd>

</dl>

checkEventObservationIndependenceAssumption: Check diagnostic for event-dependent observation end

Description

Usage

Value

Arguments