Professor Kate Ren

BSc (York), MPhil (Cantab), PhD (Sheffield)

School of Medicine and Population Health

Professor of Statistical Health Technology Assessment

s.ren@sheffield.ac.uk
+44 114 222 0696

Full contact details

Professor Kate Ren
School of Medicine and Population Health
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
Profile

I joined SCHARR in 2011 after completing a PhD in Probability and Statistics, specialising in Bayesian methods in clinical trial design at the University of Sheffield. My expertise lies in the development and application of Bayesian methods in Health Technology Assessment. My research interests include evidence synthesis methods (in particular indirect treatment comparisons with single-arm trials), survival extrapolation and structured expert elicitation.

I work as a member of SCHARR-TAG (an external assessment group for NICE technology appraisals). I have extensive experience in critiquing statistical methods used in NICE single technology appraisal submissions. I am also a member of NICE Appraisal Committee C.

I am an NIHR Advanced Fellow, currently working on a project titled “Improving the robustness of health technology funding decisions when evidence is from single-arm trials”.

Research interests
  • Network meta-analysis
  • Indirect treatment comparisons
  • Population-adjusted indirect comparisons
  • Survival extrapolation
  • Structured expert elicitation
  • Bayesian statistics in clinical trials and health economics
Publications

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Grants
  • NIHR Evidence Synthesis Group (2023-2028, £4,507,538) Co-investigator.
  • NIHR Technology Assessment Reviews (2022-2027, £6,999,908) Co-investigator.
  • NIHR Advanced Fellowship (2021-2025, £368,269) Principal investigator.
  • NIHR HTA Programme: Effectiveness of interventions for fatigue in long-term conditions (2023-2025, £332,575) Co-investigator.
  • NIHR HTA Programme: Diagnostic strategies for suspected acute aortic syndrome (2023-2024, £184,095) Co-investigator.
  • NIHR HTA Programme: Medically unexplained symptoms: primary care intervention (2015-2017, £171,405) Co-investigator.
Teaching interests

Evidence synthesis, survival analysis