summary.IDEMDATA

Summarize the missing data information for class <code>IDEMDATA</code> objects
generated by <code>imData</code>.

In randomized studies involving severely ill patients, functional
outcomes are often unobserved due to missed clinic visits, premature
withdrawal or death. It is well known that if these unobserved functional
outcomes are not handled properly, biased treatment comparisons can be
produced. In this package, we implement a procedure for comparing treatments
that is based on the composite endpoint of both the functional outcome and
survival. The procedure was proposed in Wang et al. (2016) <DOI:10.1111/biom.12594>
and Wang et al. (2020) <DOI:10.18637/jss.v093.i12>. It considers missing data
imputation with different sensitivity
analysis strategies to handle the unobserved functional outcomes not due to
death.

Chenguang Wang

idem

Inference in Randomized Controlled Trials with Death and
Missingness

summary.IDEMDATA function

<dl><dt>object</dt>
<dd>A class <code>IDEMDATA</code> object returned by <code>imData</code></dd>
<dt>opt</dt>
<dd>Types of the summarization<ul>
<li><code>misstable</code>: Summarize the frequencies of each missing pattern</li>
<li><code>missid</code>: Summarize the indices of subjects that need
 imputation, i.e. survivors with functional endpoint missing</li>
<li><code>trt</code>: Treatment arms</li>
</ul></dd>
<dt>endponly</dt>
<dd>Logical variable that indicates whether clinical outcomes not
used in calculating the functional outcome are considered as missing and
should be imputed. The default is <code>FALSE</code>, indicating that all
missing clinical outcomes will be imputed sequentially</dd>
<dt>...</dt>
<dd>Extra arguments</dd></dl>

Arguments

Summary of IDEMDATA object — summary.IDEMDATA

<dl>

<dt>object</dt>
<dd>A class <code>IDEMDATA</code> object returned by <code>imData</code></dd>


<dt>opt</dt>
<dd>Types of the summarization<ul>
<li><code>misstable</code>: Summarize the frequencies of each missing pattern</li>
<li><code>missid</code>: Summarize the indices of subjects that need
 imputation, i.e. survivors with functional endpoint missing</li>
<li><code>trt</code>: Treatment arms</li>
</ul></dd>


<dt>endponly</dt>
<dd>Logical variable that indicates whether clinical outcomes not
used in calculating the functional outcome are considered as missing and
should be imputed. The default is <code>FALSE</code>, indicating that all
missing clinical outcomes will be imputed sequentially</dd>


<dt>...</dt>
<dd>Extra arguments</dd>

</dl>

summary.IDEMDATA: Summary of IDEMDATA object

Description

Usage

Value

Arguments

See Also