bg_variability

A simulated dataset containing the variability of inpatient
 point-of-care blood glucose (BG) measurements from 1200 non-critical care
 adult patients in medical ward. BG variability is measured as the standard
 deviation of the BG readings within a day. Data was simulated based on real
 data.

datasets

Implements the three-step workflow for robust analysis of change in
two repeated measurements of continuous outcomes, described in Ning et al.
(in press), "Robust estimation of the effect of an exposure on the change in
a continuous outcome", BMC Medical Research Methodology.

Ning Yilin

cprobit

Conditional Probit Model for Analysing Continuous Outcomes

bg_variability function

A data frame with 1200 rows and 7 variables:<dl class="dl-horizontal">
 <dt>subject_id</dt><dd>Subject ID of each patient.</dd>
 <dt>case_id</dt><dd>Case ID, with <code>1</code> and <code>2</code> referring to the first
 and second follow-up respectively.</dd>
 <dt>y</dt><dd>BG variability of the first and second follow-up.</dd>
 <dt>t</dt><dd>Binary indicator for the second follow-up.</dd>
 <dt>sd0</dt><dd>Baseline BG variability.</dd>
 <dt>age</dt><dd>Patients' age.</dd>
 <dt>female</dt><dd>Binary indicator for being female.</dd>
</dl>

Format

Inpatient blood glucose data for 1200 patients — bg_variability

A data frame with 1200 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>subject_id</dt><dd>Subject ID of each patient.</dd>
 <dt>case_id</dt><dd>Case ID, with <code>1</code> and <code>2</code> referring to the first
 and second follow-up respectively.</dd>
 <dt>y</dt><dd>BG variability of the first and second follow-up.</dd>
 <dt>t</dt><dd>Binary indicator for the second follow-up.</dd>
 <dt>sd0</dt><dd>Baseline BG variability.</dd>
 <dt>age</dt><dd>Patients' age.</dd>
 <dt>female</dt><dd>Binary indicator for being female.</dd>
</dl>

bg_variability: Inpatient blood glucose data for 1200 patients

Description

Usage

Arguments

Format