ScoreImputedData.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

ScoreImputedData.object function

<dl>
<dt><code>data</code></dt>
<dd>A data frame containing the time to event data
with 2 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 )</dd></dl>
<dt><code>col.control</code></dt>
<dd>The list of column names the risk score imputation method requires see <code>col.headings</code>
for further details. If censor.type was not used then <code>col.control$censor.type="using_has.event_col"</code></dd>
<dt><code>default.formula</code></dt>
<dd>The default model formula which will be used when fitting the imputed data using a Cox model</dd>

Slots

ScoreImputedData object — ScoreImputedData.object

<dl>
<dt><code>data</code></dt>
<dd>A data frame containing the time to event data
with 2 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 )</dd>


<dt><code>col.control</code></dt>
<dd>The list of column names the risk score imputation method requires see <code>col.headings</code>
for further details. If censor.type was not used then <code>col.control$censor.type="using_has.event_col"</code></dd>


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


</dl>

<code>ScoreImputedData</code> object

ScoreImputedData.object: `ScoreImputedData` object

Description

Arguments

Slots