NN.options

Create a list of options which control the nearest neighbour algorithm
for risk score imputation

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

NN.options function

<dl><dt>NN</dt>
<dd>The (maximum) number of subjects to be included in the
risk set</dd>
<dt>w.censoring</dt>
<dd>The weighting on the censoring risk score when 
calculating distances for the nearest neighbour calculation
A weighting of <code>(1-w.censoring)</code> is used for the event risk score</dd>
<dt>min.subjects</dt>
<dd>If using time dependent score imputation include at least
this number of subjects when fitting the Cox model (i.e. include some subjects who were censored/had event
earlier than the cenosred observation if neccessary)</dd></dl>

Arguments

Create a list of options which control the nearest neighbour algorithm
for risk score imputation — NN.options

<dl>

<dt>NN</dt>
<dd>The (maximum) number of subjects to be included in the
risk set</dd>


<dt>w.censoring</dt>
<dd>The weighting on the censoring risk score when 
calculating distances for the nearest neighbour calculation
A weighting of <code>(1-w.censoring)</code> is used for the event risk score</dd>


<dt>min.subjects</dt>
<dd>If using time dependent score imputation include at least
this number of subjects when fitting the Cox model (i.e. include some subjects who were censored/had event
earlier than the cenosred observation if neccessary)</dd>

</dl>

NN.options: Create a list of options which control the nearest neighbour algorithm for risk score imputation

Description

Usage

Value

Arguments