NIHR Statistics Group Fifth Annual Conference – Statistical Literacy and Research Integrity with an emphasis on data visualisation to celebrate Florence Nightingale’s Bicentenary

Location: Online | Date: 24 June 2021

The NIHR Statistics Group aims to bring together statisticians, clinicians and scientists to develop and promote best methodological practice in research in health and social care. Theme and Programme for 2021:   

Theme: 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)  

The Early Career Morning 

This half day session will serve as an opportunity to find out more about the NIHR statistics group, what it can offer early career statisticians including its mentoring scheme, and how to make the most of the conference. There will be career talks with Q&A sessions  and an opportunity for early career researchers to meet and discuss particular challenges they are facing and possible solutions.  

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. 

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. Non-statisticians who are interested in statistics are also very welcome to attend. 

Registering early is encouraged as it will allow delegates to help shape the final schedule for the conference in terms of populating breakout group topics and format. 

  • Pricing Details: £40 per day

Last Booking Date for this Event: 21st June 2021

Early career morning 23rd June (free to attend when registered for at least one day of the conference).

REGISTER HERE

PROGRAMME (Please not that this a draft programme and may be subject to change)

Early Career Morning (for those who have registered for this session only)

Wednesday 23rd 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)

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]

11.45 – 12.00 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 25th 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]

11.45 – 12.00 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)

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