Fifth Annual Conference: Statistical Literacy and Research Integrity

Theme and Programme for 2021:   

Statistical literacy and research integrity with an emphasis on data visualisation to celebrate Florence Nightingale’s Bicentenary.  

Speakers: Professors Christina Yap (Institute of Cancer Research), Martin Bland (University of York), Janet Peacock (Dartmouth College), Anne-Marie Keenan (NIHR Academy)  

Conference materials:

Please see the 2021 conference newsletter.pdf for a summary of the event.

PROGRAMME 

Early Career Morning

Wednesday 23^rd June

10:00 – Introduction to the NIHR Statistics Group (Sam Leary, University of Bristol, Career Development Group Lead)

10:20 – Career talk with opportunity for questions (Professor Yemisi Takwoingi, University of Birmingham)

10:45 – Short break

10.50 – Semi-structured discussion groups finishing with feedback to all participants (Jen Lewis, University of Sheffield, Career Development Group Member)

11:35 – Career talk with opportunity for questions (Dr Munya Dimairo, University of Sheffield)

12:00 – Close

Main Conference (for all delegates)

Thursday 24^th June

9.15 – Welcome

9.30 – 10.15 Opening Speaker: Professor Martin Bland (University of York) {Title to be added}

10.30 – 11.30 Break out parallel session 1

• Reporting of research findings in the mainstream press [Jo Knight, Kelly Heys , Fran Biggin]
• Developing personas using machine learning clustering techniques to support the understanding of populations and inform action [Andrew James Williams, Kath Magure, Tamaryn Menneer, Tim Walker, Ritadevi Alflatt]

11.40 – 11.55 Quick Fire Poster session 1

• Changing institutions during the COVID-19 pandemic: Challenges and tips [Elli Bourmpaki, Emily J. Robinson, Catey Bunce, Zohra Zenasni]
• Impact of COVID-19 related protocol deviations on two large multicentre ongoing cancer clinical trials (PLATFORM and TRACC) [Maria Aresu, Elli Bourmpaki, Clare Peckitt]

12.00 – 1.00 Break out parallel session 2

• Preparing a Trial Application with an Adaptive Design [Thomas Jaki, Pavel Mozgunov, Thomas Burnett, Alessandra Serra]
• What studies are needed to provide evidence for adoption of AI technology for imaging within NHS? [Sue Mallett, NIHR Statistics Imaging Group]
• Challenges of quantitative research in social care [NIHR Social Care Statistics Working Group]

<1.00-1.45 – Free time>

1.45 – 2.30 2nd Speaker: Professor Christina Yap (The Institute of Cancer Research) {Title: “Making a picture worth a thousand words: applications in clinical trials”}

2.45 – 3.45 Break out parallel session 3

• Using routine data to obtain comparative effectiveness estimates by emulating a target trial [NIHR Statistics Routine Data Group]
• Use of trial data by statisticians for clinical trial monitoring: statistical monitoring and assessing protocol deviations [Sharon Love, Andrew Davis, Victoria Yorke-Edwards]

4.00 – 4.15 Quick-fire Poster session 2

• Addressing methodological issues associated with using the KDQOL in a trial of nocturnal dialysis to estimate effectiveness and cost-effectiveness [Hannah Worboys, Laura Gray, Nicola Cooper, James Burton]
• Public engagement during the COVID-19 pandemic: experiences of a multidisciplinary team in Cambridge [Ulla Sovio, Dafina Angelova, Giulia Avellino, Irving Aye, Francesca Gaccioli, Ionel Sandovici]

4.30 – Meet your mentor/mentee (Day 1 close)

Friday 25^th June

9.30 – 10.15 Third Speaker: Professor Anne Maree Keenan OBE (University of Leeds) {The NIHR Incubators}

10.30 – 11.30 Break out parallel session 4

• Recommendations for visualising the drug harm profile in Randomised Controlled Trials: a consensus [Rachel Phillips, Victoria Cornelius, Suzie Cro, Graham Wheeler]
• Strengthening the methodology of reporting guidelines and improving the reporting of statistical methods [Michael Schlussel, Derrick Bennett]
• Challenges facing mid and later career statisticians [NIHR Statistics Career Development Group]

11.40 – 11.55 Quick Fire Poster session 3

• Using patient-reported outcomes to learn more about the treatment pathway; findings from the UPSTREAM trial [Grace Young, Marcus Drake, Athene Lane, Chris Metcalfe, Amanda Lewis]
• UK-REACH study on ethnicity and COVID-19 outcomes in healthcare workers: Challenges in linking UK-wide routine health data [Lucy Teece, Laura Gray, Carl Melbourne, Manish Pareek, on behalf of the UK-REACH Study Collaborative Group]

12.00 – 1.00 Break out parallel session 5

• Visualising ophthalmic data – welcome to the multilayer complexity [Lisanne Horvat-Gitsels, Mario Cortina-Borja, Lola Solebo, Siegfried Wagner, Dipesh Patel, Ana Šemrov]
• Data integration of multiple routinely collected healthcare datasets [Maria Elstad, Abdel Douiri]
• Randomisation and blinding in clinical trials [Cydney Bruce, Mais Iflaifel, Christopher Partlett]

<1.00-1.45 – Free time>

1.45 – 2.30 Last Speaker: Professor Janet Peacock (King’s College London) {Title: “Statistical thinking before analysis – learning from just looking at data”}

2.45 – 3.45 Break out parallel session 6

• An Overview of Benefit-Risk Assessments [Nikki Totton]
• Between-site comparisons: statisticians talk about their websites [Richard Hooper, Zohra Zenasni]

4.00 – 4.15 Statistics Room & Networking

4.15 – 4.30 Poster prize! + Conference review

4.30 – Meet your mentor/mentee (Formal end of conference)