summary.ImputeSimFit.object

The summary of a <code>ImputeSimFit</code> object. Rubin's formula 
is used to combine the test statistics into a single summary

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.ImputeSimFit.object function

<dl><dt>treatment.effect</dt>
<dd>The mean of the estimated treatment.effect
from the imputed data</dd>
<dt>se</dt>
<dd>The standard error of the (log) treatment effect calculated using Rubin's formula</dd>
<dt>df</dt>
<dd>The number of degrees of freedom used to calculate the p-value</dd>
<dt>adjusted.df</dt>
<dd>The number of degrees of freedom used to calculate the adjusted
p-value (this should be used if the complete data number of degrees of freedom is small)</dd>
<dt>dispersion</dt>
<dd>The mean of the estimated dispersion parameter</dd>
<dt>pval</dt>
<dd>The p-value for the test log(treatment.effect)=0 using Rubin's formula</dd>
<dt>adjusted.pval</dt>
<dd>The p-value for the test log(treatment.effect)=0 using Rubin's
formula and the adjusted number of degrees of freedom</dd>
<dt>dropout</dt>
<dd>The number of subjects who drop out (per arm) for this imputed data set</dd>
<dt>number.subjects</dt>
<dd>The number of subjects (per arm) for this imputed data set</dd></dl>

Arguments

summary.ImputeSimFit object — summary.ImputeSimFit.object

<dl>

<dt>treatment.effect</dt>
<dd>The mean of the estimated treatment.effect
from the imputed data</dd>


<dt>se</dt>
<dd>The standard error of the (log) treatment effect calculated using Rubin's formula</dd>


<dt>df</dt>
<dd>The number of degrees of freedom used to calculate the p-value</dd>


<dt>adjusted.df</dt>
<dd>The number of degrees of freedom used to calculate the adjusted
p-value (this should be used if the complete data number of degrees of freedom is small)</dd>


<dt>dispersion</dt>
<dd>The mean of the estimated dispersion parameter</dd>


<dt>pval</dt>
<dd>The p-value for the test log(treatment.effect)=0 using Rubin's formula</dd>


<dt>adjusted.pval</dt>
<dd>The p-value for the test log(treatment.effect)=0 using Rubin's
formula and the adjusted number of degrees of freedom</dd>


<dt>dropout</dt>
<dd>The number of subjects who drop out (per arm) for this imputed data set</dd>


<dt>number.subjects</dt>
<dd>The number of subjects (per arm) for this imputed data set</dd>

</dl>

summary.ImputeSimFit.object: summary.ImputeSimFit object

Description

Arguments

Details