Related Experiment Video
Updated: Jul 15, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Building on a novel bootstrapping modelling technique to predict region-wide critical care capacity requirements over
Tom Lawton1, Aaron Corp1, Claire Horsfield2
1Bradford Institute for Health Research, Bradford, UK.
Abstract:
We have previously described an open-source data-driven modelling technique that has been used to model critical care resource provision as well as expanded to elective surgery and even whole-hospital modelling. Here, we describe the use of this technique to model patient flow and resource use across the West Yorkshire Critical Care Network, with the advantage that recommendations can be made at an individual unit level for future resource provision, taking into account changes in population numbers and demography over the coming decade. We will be using this approach in other regions around the UK to help predict future critical care capacity requirements.
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Bootstrapping
Clearance Models: Noncompartmental Models
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Multicompartment Models: Overview
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Compartment Models: Single-Compartment Model

