datasets

A guidance system for analysis with missing data. It incorporates expert, up-to-date methodology to help researchers choose the most appropriate analysis approach when some data are missing. You provide the available data and the assumed causal structure, including the likely causes of missing data. 'midoc' will advise which analysis approaches can be used, and how best to perform them. 'midoc' follows the framework for the treatment and reporting of missing data in observational studies (TARMOS). Lee et al (2021). <doi:10.1016/j.jclinepi.2021.01.008>.

Elinor Curnow

midoc

A Decision-Making System for Multiple Imputation

Jon Heron

Rosie Cornish

Kate Tilling

James Carpenter

bmi function

<div class="section" id="bmi">
<h3><code>bmi</code></h3>
A data frame with 1000 rows and 6 columns:<dl>
<dt>bmi7</dt>
<dd>Child's body mass index at age 7 years</dd><dt>matage</dt>
<dd>Mother's age at pregnancy, standardised relative to a mean age of 30</dd><dt>mated</dt>
<dd>Mother's educational level: post-16 years qualification or not</dd><dt>pregsize</dt>
<dd>Mother's pregnancy size: singleton or twins</dd><dt>bwt</dt>
<dd>Child's birth weight in kilograms</dd><dt>r</dt>
<dd>Missingness indicator: whether bmi7 is reported or not</dd>...</dl></div>

Format

Child body mass index data — bmi

<div class='section' id='bmi'>
<h3><code>bmi</code></h3>


A data frame with 1000 rows and 6 columns:<dl>
<dt>bmi7</dt>
<dd>Child's body mass index at age 7 years</dd>

<dt>matage</dt>
<dd>Mother's age at pregnancy, standardised relative to a mean age of 30</dd>

<dt>mated</dt>
<dd>Mother's educational level: post-16 years qualification or not</dd>

<dt>pregsize</dt>
<dd>Mother's pregnancy size: singleton or twins</dd>

<dt>bwt</dt>
<dd>Child's birth weight in kilograms</dd>

<dt>r</dt>
<dd>Missingness indicator: whether bmi7 is reported or not</dd>

...

</dl>

</div>

Child body mass index data

bmi: Child body mass index data

Description

Usage

Arguments

Format

`bmi`