Mon, Jul 03
|Chilworth
NIHR Statistics Group Event
Analysis of classification problems using machine learning and statistical methodologies in routine data
Time & Location
Jul 03, 2023, 10:00 AM – 5:00 PM GMT+1
Chilworth, 3 Venture Rd, Chilworth, Southampton SO16 7NP, UK
About the event
Join us for the annual NIHR Statistics Group – routine data group event.
The theme of this year’s event is
Analysis of classification problems using machine learning and statistical methodologies in routine data
The field of statistical research is evolving. Large data resources are becoming more readily available. The field is therefore adapting by introducing more effective methodologies to facilitate analysis and/or data handling of these large data resources. This routine data event aims to explore the functionality of machine learning techniques in handling large/routinely collected datasets, and compare its utility against statistical techniques.
The event will be a hybrid event. When deciding whether to attend virtually or in-person, please be aware that in-person attendees may benefit more from this event, as there will be opportunities to network and continue questions and discussion during the break time.
The event is open to all and will be of particular relevance to statisticians and researchers working with large (routinely collected) data.
Agenda:
10.00 – 10.30 - Registration
10.30 - Welcome
10.35 - Introduction to NIHR Statistics Group - routine data group
10.40 - Introduction to Machine Learning Terminology
11.00 - Coffee break
11.30 - Speakers:
- Marcos Del Pozo Banos - Responsible use of machine learning with routine data
- Daniel Stamate – Predicting risk of dementia with machine learning and statistical learning: results on the CPRD and ELSA cohorts
- Nazrul Islam – Analysis of classification problems using machine learning and traditional statistical techniques: a prequel
13.00 - Q&A and general discussion
13.30 - Lunchbreak
14.15 - Demonstration session
Analysing simulated dataset using traditional statistical methodologies
14.55 - Coffee break
15.15 - Demonstration session
Analysing simulated dataset using machine learning methodologies
16.30 - Closing remarks
Funded by the National Centre for Research Methods and NIHR ARC Wessex