GammaImputedData.object

Multiple Imputation for Informative Censoring.
This package implements two methods. Gamma Imputation
described in <DOI:10.1002/sim.6274> and Risk Score Imputation
described in <DOI:10.1002/sim.3480>.

Jonathan Bartlett

InformativeCensoring

Multiple Imputation for Informative Censoring

David Ruau

Nikolas Burkoff

Dan Jackson

Edmund Jones

Martin Law

Paul Metcalfe

GammaImputedData.object function

<dl>
<dt><code>data</code></dt>
<dd>A data frame containing the time to event data
with 3 new columns impute.time and impute.event, the imputed event/censoring times and event indicators
(for subjects whose data is not imputed these columns contain the unchanged event/censoring time and
event indicator) and internal_gamma_val which is the value of gamma used for each subject in this data set</dd></dl>
<dt><code>default.formula</code></dt>
<dd>The default model formula which will be used when fitting the imputed data</dd>

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GammaImputedData object — GammaImputedData.object

<dl>
<dt><code>data</code></dt>
<dd>A data frame containing the time to event data
with 3 new columns impute.time and impute.event, the imputed event/censoring times and event indicators
(for subjects whose data is not imputed these columns contain the unchanged event/censoring time and
event indicator) and internal_gamma_val which is the value of gamma used for each subject in this data set</dd>


<dt><code>default.formula</code></dt>
<dd>The default model formula which will be used when fitting the imputed data</dd>


</dl>

<code>GammaImputedData</code> object

GammaImputedData.object: `GammaImputedData` object

Description

Arguments

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