summary.SingleSimFit

The summary object for a <code>SingleSimFit</code> object

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.SingleSimFit function

<dl><dt>model.summary</dt>
<dd>The model summary from the fit</dd>
<dt>treatment.effect</dt>
<dd>The estimate of treatment effect from the model fit</dd>
<dt>CI.limit</dt>
<dd>The confidence interval limit (by default 0.95), call <code>summary(object,CI.limit=x)</code> to use
CI of <code>x</code> instead.</dd>
<dt>CI</dt>
<dd>The confidence interval of the treatment effect</dd>
<dt>se</dt>
<dd>Estimate for the standard error of (log) treatment effect</dd>
<dt>dispersion</dt>
<dd>Estimate for the dispersion parameter or numeric(0) if Poisson/quasi-Poisson model used</dd>
<dt>rate.estimate</dt>
<dd>Estimate of the event rates from the model a vector c(control arm, treatment arm)</dd>
<dt>pval</dt>
<dd>The p value directly from the model fit (this is for the single model fit only, i.e. not using Rubin's formula)</dd>
<dt>datastatus</dt>
<dd>The status of SingleSim object to which the fit was applied</dd>
<dt>df</dt>
<dd>The number of degrees of freedom of the model</dd>
<dt>dropout</dt>
<dd>The number of dropouts of each arm</dd>
<dt>number.subjects</dt>
<dd>The number of subjects in each arm</dd></dl>

Arguments

summary.SingleSimFit — summary.SingleSimFit

<dl>

<dt>model.summary</dt>
<dd>The model summary from the fit</dd>


<dt>treatment.effect</dt>
<dd>The estimate of treatment effect from the model fit</dd>


<dt>CI.limit</dt>
<dd>The confidence interval limit (by default 0.95), call <code>summary(object,CI.limit=x)</code> to use
CI of <code>x</code> instead.</dd>


<dt>CI</dt>
<dd>The confidence interval of the treatment effect</dd>


<dt>se</dt>
<dd>Estimate for the standard error of (log) treatment effect</dd>


<dt>dispersion</dt>
<dd>Estimate for the dispersion parameter or numeric(0) if Poisson/quasi-Poisson model used</dd>


<dt>rate.estimate</dt>
<dd>Estimate of the event rates from the model a vector c(control arm, treatment arm)</dd>


<dt>pval</dt>
<dd>The p value directly from the model fit (this is for the single model fit only, i.e. not using Rubin's formula)</dd>


<dt>datastatus</dt>
<dd>The status of SingleSim object to which the fit was applied</dd>


<dt>df</dt>
<dd>The number of degrees of freedom of the model</dd>


<dt>dropout</dt>
<dd>The number of dropouts of each arm</dd>


<dt>number.subjects</dt>
<dd>The number of subjects in each arm</dd>

</dl>

summary.SingleSimFit: summary.SingleSimFit

Description

Arguments

Details

See Also

Examples