ex_ncc

A dataset containing simulated nested case-control data.

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

Claus Thorn Ekstrøm

ex_ncc function

A data frame with 728 rows and 8 variables:<dl>
 <dt>t</dt>
<dd>Time to event or censoring</dd> <dt>d</dt>
<dd>Indicator of whether event 1 occurred (d=1), or not (d=0)</dd> <dt>x</dt>
<dd>Partially observed binary covariate</dd> <dt>z</dt>
<dd>Fully observed covariate</dd> <dt>id</dt>
<dd>An id variable</dd> <dt>numrisk</dt>
<dd>Number of patients at risk at time of case's event</dd> <dt>setno</dt>
<dd>The case-control set number</dd> <dt>case</dt>
<dd>Binary indicator of case (=1) or control (=0)</dd>
</dl>

Format

Simulated nested case-control data — ex_ncc

A data frame with 728 rows and 8 variables:<dl>
 <dt>t</dt>
<dd>Time to event or censoring</dd>

 <dt>d</dt>
<dd>Indicator of whether event 1 occurred (d=1), or not (d=0)</dd>

 <dt>x</dt>
<dd>Partially observed binary covariate</dd>

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

 <dt>id</dt>
<dd>An id variable</dd>

 <dt>numrisk</dt>
<dd>Number of patients at risk at time of case's event</dd>

 <dt>setno</dt>
<dd>The case-control set number</dd>

 <dt>case</dt>
<dd>Binary indicator of case (=1) or control (=0)</dd>


</dl>

ex_ncc: Simulated nested case-control data

Description

Usage

Arguments

Format