apply_delta

Takes a delta dataset and adjusts the outcome variable by adding the
corresponding delta.

Implements standard and reference based multiple imputation methods for continuous
longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular,
this package supports deterministic conditional mean imputation and jackknifing as described
in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described
in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum
likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

Craig Gower-Page

rbmi

Reference Based Multiple Imputation

Isaac Gravestock

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

apply_delta function

<dl><dt>data</dt>
<dd><code>data.frame</code> which will have its <code>outcome</code> column adjusted.</dd>
<dt>delta</dt>
<dd><code>data.frame</code> (must contain a column called <code>delta</code>).</dd>
<dt>group</dt>
<dd>character vector of variables in both <code>data</code> and <code>delta</code> that will be used
to merge the 2 data.frames together by.</dd>
<dt>outcome</dt>
<dd>character, name of the outcome variable in <code>data</code>.</dd></dl>

Arguments

Applies delta adjustment — apply_delta

<dl>

<dt>data</dt>
<dd><code>data.frame</code> which will have its <code>outcome</code> column adjusted.</dd>


<dt>delta</dt>
<dd><code>data.frame</code> (must contain a column called <code>delta</code>).</dd>


<dt>group</dt>
<dd>character vector of variables in both <code>data</code> and <code>delta</code> that will be used
to merge the 2 data.frames together by.</dd>


<dt>outcome</dt>
<dd>character, name of the outcome variable in <code>data</code>.</dd>

</dl>

apply_delta: Applies delta adjustment

Description

Usage

Arguments