Driving Interprofessional Collaboration – NIHR Statistics Group Third Annual Conference
The NIHR Statistics Group aims to bring together statisticians, clinicians and scientists to develop and promote best methodological practice in healthcare research.
This year, in addition to the main conference, early-career statisticians are invited to register for an Early Career Morning. The options are:
- The Early Career Morning and Annual Conference, or
- The Annual Conference
Please see below for pricing options. Early registration is encouraged. It is necessary to register before the end of the Early Bird rate on 29th April 2019 in order to participate in the mentoring scheme or to suggest breakout group themes.
The Early Career Morning
This year the Career Development Section are hosting an event on the morning of the 20th June prior to the main conference. This will be an opportunity for early career NIHR statisticians, NIHR Academy members and first-time conference attendees to find out more about the NIHR Statistics Group and make the most of the conference. See below for Agenda.
The Main Conference
The aim of the conference is to give an update of the NIHR Statistics Group’s recent activities, involve new and existing members in the formation of future activities, and provide networking opportunities to share and promote best practice. It is an ideal forum for statisticians who work in isolation. This year we will be piloting our new mentoring scheme.
Who is the conference aimed at?
Statisticians who are associated with NIHR research. This includes researchers/trainees partly- or fully-funded by an NIHR grant, those involved in an NIHR infrastructure (eg RDS, CTU, BRC, CLAHRC, DEC). Non-statisticians who are interested in statistics are also welcome to attend.
Registering early is encouraged as it will allow delegates to help shape the final schedule for the conference in terms of selecting breakout group topics and format.
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 will be dedicated to the memory of Professor Doug Altman.
Delegates have the following options for registering for the conference:
- Main conference – Day rate (no accommodation included, delegate is responsible for their own arrangements)
- Main conference – Accommodation (One night’s accommodation on the 20th June included)
- Main conference plus Early Career Morning – Day rate (no accommodation included, delegate is responsible for their own accommodation)
- Main conference plus Early Career Morning – (Accommodation) Two night’s accommodation on the 19th & 20th June included)
- The Early Bird rate will expire on 29 April 2019
- Last Booking Date for this Event 3rd June 2019
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”
3.15 – coffee break
3.30 – Breakout session 1
- Are reporting guidelines fit for purpose or are they neither use nor ornament?
- 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”
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
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”
4.00 – End of meeting