NHS-R Conference Workshop: Development and validation of clinical prediction models using R – 4th November 2022
Development and validation of clinical prediction models using R
- Friday 4th November 2022, 9.30 am – 4.30 pm
This workshop take place online.
Pre-requisites: The workshop assumes that attendees are familiar with R
About the course:
Covering all five stages of clinical prediction model development and validation using R.
- model development
- performance assessment using discrimination and calibration measures
- internal validation using bootstrapping
- external validation, and
- sensitivity analysis
Learning objectives:
- clinical prediction models (CPM) development
- assessment of the performance of CPM using discrimination and calibration measures
- internal validation of CPM using bootstrapping
- external validation of CPM, and
- sensitivity analysis and decision curve analysis.
Registration
Please register via the Sign up link in the right panel.
You will need to register as a member of the NHS-R Community to register for NHS-R Events.
When you register you will receive a confirmation of your place by email. Further workshop informatoin and the online link to join the workshop will be sent out to you nearer the date.
Please check your junk folder if you’ve not yet received this or contact us at nhs.rcommunity@nhs.net if you are having any issues.
Please note: This course is limited to NHS employees and those who work in UK public sector organisations such as PHE, local councils and DHSC.
Places are limited and will be allocated on a first come first serve basis, we will have a waiting list and will contact you if a place becomes available.
For further information, please contact: nhs.rcommunity@nhs.net
Please see the full list of NHS-R Conference Workshops available here
Event Speakers
Dr Muhammad Faisal
Senior Research Fellow in Biostatistics, University of Bradford
Muhammad Faisal is a Senior Research Fellow in Biostatistics at the University of Bradford. Muhammad is using R for more than fifteen years for the analysis and management of big healthcare datasets. His research expertise lies in the development and external validation of clinical prediction models, working with Big Health Data. Muhammad is also involved in establishing an NHS-R community. He is working on a variety of patient safety and health informatics projects that deal with applied statistical approaches, such as developing computer aided-risk scores for sepsis (CARSS) www.carssresearch.org and is involved with Yorkshire & Humber Patient Safety Research Centre (YHPSTC) https://yhpstrc.org/