ConstantRateDrop

Creates an MCAR <code>DropoutMechanism</code> object where subject <code>i</code> dropout
is exponentially distributed with rate <code>Ri</code> where 
<code>Ri = C*exp(Xi)</code> for constant <code>C</code> and 
<code>Xi</code> a random normal variable with mean 0 and standard deviation <code>sigma</code>

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

ConstantRateDrop function

<dl><dt>rate</dt>
<dd><code>C</code> described in the details</dd>
<dt>var</dt>
<dd><code>sigma^2</code> described in the details section, by default = 0</dd></dl>

Arguments

Create a Dropout Mechanism with constant dropout rate — ConstantRateDrop

<dl>

<dt>rate</dt>
<dd><code>C</code> described in the details</dd>


<dt>var</dt>
<dd><code>sigma^2</code> described in the details section, by default = 0</dd>

</dl>

ConstantRateDrop: Create a Dropout Mechanism with constant dropout rate

Description

Usage

Value

Arguments

See Also

Examples