Third Annual Conference: Driving Interprofessional Collaboration
Event information
Location: The Edge Conference Centre, 34 Endcliffe Street, Sheffield
Date: 20 June 2019 - 21 June 2019
Themes for 2019: The challenges of working in interdisciplinary medical and health research.
- Research integrity and statistical literacy
- Working with data scientists, computer scientists, health economists
- Collaborative/team science
- Statisticians taking the lead
This year’s conference was dedicated to the memory of Professor Doug Altman.
Conference materials
Breakout group summaries.pdf are available, in addition to the conference newsletter.pdf; links to plenary presentation slides are provided below.
Programme
Thursday 20th June
Early Career Morning (for those who have registered for this session only)
10:00 – Registration and Coffee
10:30 – Welcome
10:35 – NIHR Statistics Group – who are we and how to get involved
11:35 – Break
11:50 – Careers as an NIHR Statistician (including Q&A session)
13:00 – Lunch
Main Conference (for all delegates)
1:00-2:00 Arrival and registration
2.00 – Welcome
2.15 – Opening Speaker: Dr. Louise Wood “Update on the NIHR”.pdf
3.15 – coffee break
3.30 – Breakout session 1
- Are reporting guidelines fit for purpose or are they neither use nor ornament?)
- Benjamin Speich, Centre for Statistics in Medicine, University of Oxford
- Michael M Schlussel, Centre for Statistics in Medicine, University of Oxford
- Stratification versus minimisation
- Variation and repeatability of test results
- Issues and guidelines in using routinely collected data
4.30 – Breakout session 2
- Feasibility studies and proof of efficacy
- GCP project
- Benefit-Risk Assessment Project
5.30 – Feedback from break out groups
6.00 – break/rest time
7pm – Barbecue
Friday 21st June
9.00 – Opening Speaker: Prof. Peter Diggle “Working with Data Scientists”.pdf
10.00 – NIHR Stats Group developments since conference 2018 – Updates from active sections since last conference
10.45 – coffee
11.15 – Breakout session 3
- Machine learning vs classical statistical methods
and
Routinely collected data in clinical trials - Reproducible code for quality assurance and team working
- Quality Improvement and Data Analytics
- Data collection tools
12.15 – lunch
1.15 – Breakout session 4
- Statistical Advising
- Studies within trials (SWATS)
- Statistical issues in Early phase dose-finding trials
2.15 – Feedback from breakout sessions
2.45 – coffee
3.00 – Closing Speaker: Prof. Elaine Hay “Including Funding for Methodology in NIHR programs”.pdf
4.00 – End of meeting