summary.Scenario.object

This object contains the overall summary statistics for a specific
scenario. It is envisioned that multiple scenarios are run and a set of
<code>summary.Scenario</code> objects are created and these can then be used for
plotting

Performs reference based multiple imputation of recurrent event data
based on a negative binomial regression model, as described
by Keene et al (2014) <doi:10.1002/pst.1624>.

Jonathan Bartlett

dejaVu

Multiple Imputation for Recurrent Events

Nikolas Burkoff

Paul Metcalfe

David Ruau

summary.Scenario.object function

<dl><dt>treatment.effect</dt>
<dd>The exp(mean(log(individual treatment effects))),</dd>
<dt>se</dt>
<dd>The mean standard error of the (log) treatment effect</dd>
<dt>power</dt>
<dd>The proportion of simulations for which the p-value is <code>&lt; alpha</code></dd>
<dt>alpha</dt>
<dd>The significance level used when calculating power, by default 0.05 use
<code>summary(object,alpha=x)</code> to use a different p value</dd>
<dt>use.adjusted.pval</dt>
<dd>logical, default FALSE should the p values calculated using
Rubin's formula with the adjusted number of degrees of freedom be used. Use <code>summary(object,use.adjusted.pval=TRUE)</code>,
to use the adjusted p values</dd>
<dt>description</dt>
<dd>A string containing a description of the scenario</dd>
<dt>dropout</dt>
<dd>A list of summary statistics regarding number of subject dropouts</dd></dl>

Arguments

summary.Scenario object — summary.Scenario.object

<dl>

<dt>treatment.effect</dt>
<dd>The exp(mean(log(individual treatment effects))),</dd>


<dt>se</dt>
<dd>The mean standard error of the (log) treatment effect</dd>


<dt>power</dt>
<dd>The proportion of simulations for which the p-value is <code>&lt; alpha</code></dd>


<dt>alpha</dt>
<dd>The significance level used when calculating power, by default 0.05 use
<code>summary(object,alpha=x)</code> to use a different p value</dd>


<dt>use.adjusted.pval</dt>
<dd>logical, default FALSE should the p values calculated using
Rubin's formula with the adjusted number of degrees of freedom be used. Use <code>summary(object,use.adjusted.pval=TRUE)</code>,
to use the adjusted p values</dd>


<dt>description</dt>
<dd>A string containing a description of the scenario</dd>


<dt>dropout</dt>
<dd>A list of summary statistics regarding number of subject dropouts</dd>

</dl>

summary.Scenario.object: summary.Scenario object

Description

Arguments

Details