5 June 2025
We are delighted to share that our recent Target Trial Emulation Workshop was a resounding success! The event reached a sold-out capacity of 120 attendees, bringing together a vibrant community of researchers, clinicians, and methodologists.
Participants enjoyed a fantastic lineup of speakers who covered a diverse range of practical and methodological topics. From tackling complex data challenges to discussing real-world applications, the sessions sparked brilliant discussions and valuable knowledge sharing across the field.
We want to say a huge thank you to all of our incredible speakers and to everyone who attended and contributed to making the day so impactful.
Missed out this time, or keen to join us again? Due to the fantastic response and high demand, we are hoping to run this workshop again in 2027. Watch this space for updates and future announcements!
In the meantime, you can find the full details, schedule, and resources from our recent event below.
Date: 4 June 2026 (Workshop: 9:30 – 17:00 | Evening reception: 17:00 - 18:00)
Location: INOX, University of Sheffield
Organising / Scientific Committee: Dr Rowan Cherodian (Chair), Dr Matthew Franklin, Prof Nick Latimer and Dr Zhan Shi
Contact for enquiries: Dr Rowan Cherodian
Can't attend in person? A free, view-only live stream will be available on the day. Please note the stream is non-interactive and limited to 250 participants.
Stream live: 10:00 to 17:00 | Thursday 4 June 2026
THIS EVENT HAS NOW TAKEN PLACE
Unsubsidised rate: £45 per person. The workshop has reached the subsidised capacity of 100 participants (this is an NIHR subsidised event). An additional 20 unsubsidised spaces are available.
Presenters: Workshop fee waived and train cost covered for presenters of accepted abstracts.
Large-scale observational data are increasingly available for healthcare research, including from electronic health records and disease registries. Target trial emulation (TTE) is based on the Target Trial framework (TTF) to support the development of study designs within observational data for evaluating the comparative effectiveness of care technologies. The TTF is increasingly used across a range of clinical areas to answer questions that would not be feasible via, or to complement, randomised trials.
This workshop will focus on target trial design and planning, alongside TTE methodological issues evidenced through application. It will include an overview of TTE research from the host organisation (University of Sheffield), alongside debate and discussion of key topic areas including developing pre-specified analysis plans, estimands and causal machine learning.
We invite abstract submissions for oral presentations (10 minutes + 5 minutes Q&A) of early-stage targets trial study designs and methodological issues evidenced through application.
Priority will be given to work-in-progress or unpublished work and early career researchers (ECRs) / PhD students.
We are no longer accepting abstract submissions.
Promote the Target Trial framework, work in progress and associated application and methodological considerations.
Discuss and debate relevant TTE topics such as developing analysis plans, estimands and causal machine learning.
Network with experts and peers interested in target trial emulation.
This event is intended to bring together people interested in trial trials, causal inference, technology assessment and real-world evidence. As such, the event is aimed at researchers, including statisticians, econometricians, epidemiologists, data scientists, health economists, as well as clinicians and decision-makers interested in real-world evidence, causal inference and trial emulation.
09:30-10:00 - Coffee & tea / arrival
10:00-10:15 - Brief overview of Target Trial emulation (Dr Matthew Franklin, Sheffield)
10:15-10:35 - Sheffield 1: Target Trials in Mental Health (Dr Matthew Franklin, Sheffield)
10:35-10:50 - Sheffield 2: ReCREATE Group: Cancer RWD (Prof Nick Latimer, Sheffield)
10:50-11:00 - Q&A
11:00-11:15 - Break (coffee & tea provided)
11:15-12:45 - TTE highlights (Chair: Dr Zhan Shi, Sheffield) (Download Abstracts PDF)
(1) Dr Saima Arif (Manchester), (2) Dr Nurnabi Sheikh (Glasgow), (3) Dr Daniel Tompsett (UCL)
(4) Prof Vanessa Didelez (Bremen), (5) Dr Bright Ofoha (Manchester), (6) Mr Ching Choy (UCL)
12:45-13:45 - Lunch
13:45-14:45 - TT analysis plans: what to pre-specify (Debate & Discussion 1)
10 mins, Overview (Chair: Dr Tim Morris, Novartis)
15 mins, Debate point 1 (Dr Matthew Franklin, Sheffield)
15 mins, Debate point 2 (Dr Clemence Leyrat, LSHTM)
5 mins, Chair’s summary
15 mins, open discussion
14:45-15:00 - Break (coffee & tea provided)
15:00-16:00 - Estimands: use and complications (Debate & Discussion 2)
10mins, Overview (Chair: Prof Ruth Keogh, LSHTM)
15 mins, Debate point 1 (Prof Ian White, UCL)
15 mins, Debate point 2 (Prof Jonathan Sterne, Bristol)
5 mins, Chair’s summary
15 mins, open discussion
16:00-16:50 - Machine learning and causal inference: role and use (Chair: Rowan Cherodian, Sheffield)
30 mins, presentation (Julia Hatamyar, York)
20 mins, Q&A
16:50-17:00 - Closing remarks (Dr Matt Franklin, Sheffield)
17:00-18:00 - Evening reception
Address: INOX, Level 5, University of Sheffield Students' Union, Durham Road, S10 2TG.
Public transport: Alight at the University of Sheffield tram stop (Blue or Yellow lines).
Parking: The nearest public car park is Q-Park Durham Road (S10 2JA), which is situated directly opposite the Students' Union/INOX.
Access: Use the glass lifts in the Students' Union lobby to reach Level 5.