Dr Jessica Forsyth

School of Medicine and Population Health

Research Associate in Statistics

j.e.forsyth@sheffield.ac.uk
+44 114 222 0670

Regent Court (ScHARR)

Full contact details

Dr Jessica Forsyth
School of Medicine and Population Health
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA

Profile

I am a Statistician in Health Technology Assessment (HTA) in the Health Economics and Decision Science (HEDS) section within SCHARR. My research interests include structured expert elicitation, survival analysis, indirect treatment comparisons, evidence synthesis, and the application of robust statistical methods to support healthcare decision making. I work across disciplines with statisticians, health economists, clinicians, and other researchers to develop quantitative methods that inform health technology evaluation and policy. I am also a member of SCHARR-TAG, an External Assessment Group that provides independent evidence assessments to support National Institute for Health and Care Excellence (NICE) technology appraisals.

Before joining HEDS in 2023, I worked as a Research Associate in Applied Mathematics at the University of Manchester and completed a Wellcome Trust-funded PhD in Quantitative and Biophysical Biology. My previous research focused on Bayesian methods, mathematical modelling, and quantitative analysis across biological applications including preimplantation mammalian development.

Qualifications: PhD in Quantitative and Biophysical Biology (Wellcome Trust, University of Manchester), MPhys Physics with Medical Physics (University of Sheffield)

Research interests: • Health Technology Assessment (HTA)
• Structured expert elicitation and expert judgement methods
• Survival analysis and survival extrapolation
• Evidence synthesis and indirect treatment comparisons
• Statistical methods for healthcare decision making under uncertainty
• Bayesian statistics and applied statistical methodology

Publications

Journal articles

Mon-Yee M, Burton C, Leaviss J, Forsyth JE, Daly G & Davis S (2026) Model-based economic evaluation of non-pharmacological interventions for fatigue in patients with long-term medical conditions in the UK. BMJ Open, 16(4), e102846-e102846.
Leaviss J, Forsyth JE, Booth A, Coyle D, Daly G, Davis S, Dawes H, Deary V, Dwivedi K, Fryer K , McCormick S et al (2026) Effectiveness of non-pharmacological interventions for fatigue in long term conditions: systematic review and network meta-analysis. BMJ Medicine, 5(1), e001746-e001746.
Sutton A, Carroll C, Simpson E, Forsyth J, Rayner A, Ren S, Franklin M & Wood E (2025) Clinical and cost‐effectiveness of eye movement desensitisation and reprocessing for post‐traumatic stress disorder in children and adolescents: a systematic review and meta‐analysis. Clinical Psychology & Psychotherapy, 32(6). View this article in WRRO
Forsyth JE, Mitra S, Srivastava T & Ren K (2025) P25 Optimizing the Use of Excess Hazard Models in Survival Analysis: Considering Disease Severity and Follow-up Maturity. Value in Health, 28(12), S31-S31.
Forsyth JE, Ren K & Jen M-H (2025) MSR107 Facilitator-Led vs. Remote Components Within Structured Expert Elicitation of Survival Outcomes: A Targeted Review. Value in Health, 28(12), S515-S515.
Forsyth JE & Ren K (2025) MSR190 Structured Expert Elicitation for Survival Outcomes: Insights From NICE Technical Support Document 26. Value in Health, 28(12), S533-S533.
Rayner A, Akpan E, Forsyth J, Hanini M, Thomas C & Mandrik L (2025) MSR68 Demonstrating the Importance of Modeling Rapid Cancer Progression in Screening Evaluations. Value in Health, 28(12), S506-S506.
Stevenson M, Forsyth JE, Hossain A, Lall R, Dark P, Carlson G, Naisbitt MJ, Kay D, Barber S, Parez J , Lee S et al (2025) Cost-effectiveness of procalcitonin-guided antibiotic duration for hospitalized patients with sepsis. Critical Care, 29(1), 508.
Casey JJ, Forsyth JE, Waite TW, Cotter SL & Shearer T (2025) Exploring natural variation in tendon constitutive parameters via Bayesian data selection and mixed effects models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2323). View this article in WRRO
de la Fuente R & Forsyth JE (2025) Assessment of spatiotemporal development of cell lineages in the mouse blastocyst using bespoke cell neighbourhood analysis approaches. Animal Science Papers and Reports, 43(3), 347-366. View this article in WRRO
Davis S, Mon-Yee M, Sutton A, Leaviss J, Forsyth JE & Burton C (2025) Cost effectiveness of non-pharmacological interventions for fatigue in patients with long-term conditions: a systematic literature review. Expert Review of Pharmacoeconomics & Outcomes Research. View this article in WRRO
Simpson E, Carroll C, Sutton A, Forsyth J, Rayner A, Ren S, Franklin M & Wood E (2025) Clinical and cost‐effectiveness of eye movement desensitization and reprocessing for treatment and prevention of post‐traumatic stress disorder in adults: A systematic review and meta‐analysis. British Journal of Psychology. View this article in WRRO
Ren K & Forsyth J (2024) SA113 Enhancing Expert Elicitation in Health Technology Assessment: Practical Insights and Recommendations. Value in Health, 27(12), S636-S636.
Forsyth J, Wong R & Ren K (2024) SA36 Are We Making Expert Use of Experts? A Scoping Review of Expert Elicitation in Survival Extrapolation. Value in Health, 27(12), S620-S620.
Forsyth J, Mitra S, Wong R, Srivastava T & Ren K (2024) HTA112 Can Excess Hazard Models Enhance Survival Analysis in Health Technology Assessments?. Value in Health, 27(12), S375-S375.
Forsyth JE, Casey J, Cotter SL, Parnell WJ & Shearer T (2023) Correction to: ‘Bayesian inference on a microstructural, hyperelastic model of tendon deformation’ (2022) by Forsyth et al .. Journal of The Royal Society Interface, 20(207).
Forsyth JE, Al-Anbaki AH, Plusa B & Cotter SL (2023) Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities. Statistics and Computing, 33(5). View this article in WRRO
Leaviss J, Booth A, Coyle D, Daly G, Davis S, Dawes H, Deary V, Dwivedi K, Forsyth JE, Fryer K , McCormick S et al () Effectiveness of non-pharmacological interventions for fatigue in adults with long-term conditions: a synopsis of the EIFFEL mixed-methods evidence synthesis. Health Technology Assessment, 1-34.
Stevenson MD, Mon-Yee M, Forsyth JE, Montazeri A & Saunders MP () Pragmatic health technology appraisals of biosimilars: a pilot case study of bevacizumab in colorectal cancer for NICE. Cost Effectiveness and Resource Allocation.
Forsyth JE, Achra M, Espinar JB, Hochmair M, Liepa AM, Lenox-Smith A, Puri T, Rajesh R, Sonksen MD, Summers Y , van der Wekken AJ et al () Structured Expert Elicitation of Long-Term Survival in Non-small Cell Lung Cancer: A Case Study Applying Guidance from NICE Technical Support Document 26. Applied Health Economics and Health Policy.
Forsyth JE, Khanal M, Kiiskinen U, Jyothi A, Goel R, Puri T, Ren S, Sonksen MD, Wang X & Jen M-H () Efficacy of selpercatinib as a first-line treatment for RET -fusion positive non-small-cell lung cancer: a novel two-stage Bayesian network meta-analysis. Journal of Comparative Effectiveness Research.
Forsyth JE, Uttley L, Wong R & Ren S () Structured expert elicitation for long-term survival outcomes in health technology assessment: a systematic review. BMC Medical Informatics and Decision Making, 25(1).
Forsyth JE, Al-Anbaki AH, de la Fuente R, Modare N, Perez-Cortes D, Rivera I, Seaton Kelly R, Cotter S & Plusa B () IVEN: A quantitative tool to describe 3D cell position and neighbourhood reveals architectural changes in FGF4-treated preimplantation embryos. PLOS Biology, 19(7), e3001345-e3001345.

Conference proceedings

Forsyth JE, Mitra S, Srivastava T & Ren K (2025) OPTIMIZING THE USE OF EXCESS HAZARD MODELS IN SURVIVAL ANALYSIS: CONSIDERING DISEASE SEVERITY AND FOLLOW-UP MATURITY. VALUE IN HEALTH, Vol. 28(12)
Forsyth JE & Ren K (2025) STRUCTURED EXPERT ELICITATION FOR SURVIVAL OUTCOMES: INSIGHTS FROM NICE TECHNICAL SUPPORT DOCUMENT 26. VALUE IN HEALTH, Vol. 28(12)

Preprints

Yee MM, Burton C, Leaviss J, Forsyth JE, Daly G & Davis S (2025) Economic evaluation of non-pharmacological interventions for fatigue in patients with long-term medical conditions, Cold Spring Harbor Laboratory.
Leaviss J, Booth A, Coyle D, Daly G, Davis S, Dawes H, Deary V, Dwivedi K, Forsyth J, Fryer K , McCormick S et al (2025) Effectiveness of non-pharmacological Interventions For Fatigue in Long term conditions (EIFFEL)-systematic review and network meta-analysis, Cold Spring Harbor Laboratory.