ci_for_ic

Mainly used in function <code>ic</code>. Produces quantiles of the
posterior gamma distribution. Called twice in <code>ic</code> to create
credibility intervals.

Tools for performing disproportionality analysis using the information component, proportional reporting rate and the reporting odds ratio. The anticipated use is passing data to the da() function, which executes the disproportionality analysis. See Norén et al (2011) <doi:10.1177/0962280211403604> and Montastruc et al (2011) <doi:10.1111/j.1365-2125.2011.04037.x> for further details.

Michele Fusaroli

pvda

Disproportionality Functions for Pharmacovigilance

Oskar Gauffin

ci_for_ic function

<dl><dt>obs</dt>
<dd>A numeric vector with observed counts, i.e. number of reports
for the selected drug-event-combination. Note that shrinkage (e.g. +0.5) is added
inside the function and should not be included here.</dd>
<dt>exp</dt>
<dd>A numeric vector with expected counts, i.e. number of reports
to be expected given a comparator or background. Note that shrinkage
(e.g. +0.5) is added inside the function and should not be included here.</dd>
<dt>conf_lvl_probs</dt>
<dd>The probabilities of the posterior, based on
a passed confidence level (<code>conf_lvl</code>) in <code>ic</code>. For
instance, if <code>sgn_lvl = .95</code> in <code>ic</code> is used, quantiles will be
extracted at <code>sgn_lvl_probs</code> 0.025 and 0.975.</dd>
<dt>shrinkage</dt>
<dd>A non-negative numeric value, to be added to
observed and expected count. Default is 0.5.</dd></dl>

Arguments

Confidence intervals for Information Component (IC) — ci_for_ic

<dl>

<dt>obs</dt>
<dd>A numeric vector with observed counts, i.e. number of reports
for the selected drug-event-combination. Note that shrinkage (e.g. +0.5) is added
inside the function and should not be included here.</dd>


<dt>exp</dt>
<dd>A numeric vector with expected counts, i.e. number of reports
to be expected given a comparator or background. Note that shrinkage
(e.g. +0.5) is added inside the function and should not be included here.</dd>


<dt>conf_lvl_probs</dt>
<dd>The probabilities of the posterior, based on
a passed confidence level (<code>conf_lvl</code>) in <code>ic</code>. For
instance, if <code>sgn_lvl = .95</code> in <code>ic</code> is used, quantiles will be
extracted at <code>sgn_lvl_probs</code> 0.025 and 0.975.</dd>


<dt>shrinkage</dt>
<dd>A non-negative numeric value, to be added to
observed and expected count. Default is 0.5.</dd>

</dl>

ci_for_ic: Confidence intervals for Information Component (IC)

Description

Usage

Value

Arguments

See Also