ex_coarsening

A simulated dataset with a factor level covariate subject to coarsening.

datasets

Implements multiple imputation of missing covariates by
Substantive Model Compatible Fully Conditional Specification.
This is a modification of the popular FCS/chained equations
multiple imputation approach, and allows imputation of missing
covariate values from models which are compatible with the user
specified substantive model.

Jonathan Bartlett

smcfcs

Multiple Imputation of Covariates by Substantive Model
Compatible Fully Conditional Specification

Ruth Keogh

Edouard F. Bonneville

Lars van der Burg

Claus Thorn Ekstrøm

ex_coarsening function

A data frame with 100 rows and 4 variables:<dl>
 <dt>x</dt>
<dd>Factor variable with 3 levels (a,b,c) and some missing values</dd> <dt>xobs</dt>
<dd>Variable which contains coarsening information for x</dd> <dt>z</dt>
<dd>Fully observed continuous covariate</dd> <dt>y</dt>
<dd>Fully observed continuous outcome</dd>
</dl>

Format

Simulated example data with a coarsened factor covariate — ex_coarsening

A data frame with 100 rows and 4 variables:<dl>
 <dt>x</dt>
<dd>Factor variable with 3 levels (a,b,c) and some missing values</dd>

 <dt>xobs</dt>
<dd>Variable which contains coarsening information for x</dd>

 <dt>z</dt>
<dd>Fully observed continuous covariate</dd>

 <dt>y</dt>
<dd>Fully observed continuous outcome</dd>


</dl>

ex_coarsening: Simulated example data with a coarsened factor covariate

Description

Usage

Arguments

Format