Nicholas Latimer

BSc, MSc, PhD

School of Health and Related Research

Professor of Health Economics

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+44 114 222 0821

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Nicholas Latimer
School of Health and Related Research
Regent Court (ScHARR)
30 Regent Street
S1 4DA
Research interests

My research interests focus on economic evaluation methodology, with a particular emphasis on the incorporation of survival analysis within economic models. I am especially interested in the use of causal inference methods to estimate comparative effectiveness in clinical trials confounded by treatment switching, and in observational (or “Big”, or “Real World”) data.

My past research focused primarily on methods for adjusting survival estimates in the presence of treatment switching - that is, when patients in the control group of a clinical trial switch onto the experimental treatment, thus confounding estimates of the treatment effect (where the relevant question for an economic analysis is what would have happened if control group patients did not receive this experimental treatment).

I am currently undertaking a Senior Research Fellowship funded by Yorkshire Cancer Research. During this Fellowship, my focus is on investigating the use of cancer registry datasets to estimate the comparative effectiveness of cancer treatments used in the NHS.

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I also have an active interest in economic evaluations alongside clinical trials, and particularly the incorporation of value of information analysis in feasibility trials.


Show: Featured publications All publications

Journal articles

All publications

Journal articles

Conference proceedings papers


  • Latimer N & Pollard D (2019) Pre-read document 1: Challenges in valuing and paying for combination regimens in oncology View this article in WRRO RIS download Bibtex download
  • Latimer NR, White IR, Abrams KR & Sieburt U (2017) Causal inference for long-term survival in randomised trials with treatment switching: Should re-censoring be applied when estimating counterfactual survival times? View this article in WRRO RIS download Bibtex download
  • Latimer NR, Abrams KR, Lambert PC, Crowther MJ & Morden JP (2014) Assessing methods for dealing with treatment crossover in clinical trials: A follow-up simulation study View this article in WRRO RIS download Bibtex download

Scholarly editions

  • Mulhern B, Rowen D, Brazier J, Jacoby A, Marson T, Snape D, Hughes D, Latimer N & Baker GA (2010) Developing a health state classification system from NEWQOL for epilepsy using classical psychometric techniques and Rasch analysis: a technical report. RIS download Bibtex download


  • Bell H, Latimer N, Amonkar M & Casey M Adjusting for treatment crossover in a trametinib metastatic melanoma RCT: Identifying the appropriate method. RIS download Bibtex download


  • Palmer R, Cooper C, Enderby P, Brady M, Julious S, Bowen A, Latimer N, Gossage-Worrall R, Cross E & Harrison M (2018) Big CACTUS study protocol v5.0 31may17. RIS download Bibtex download


Teaching interests

My teaching interests lie in the field of health economics, economic evaluation and survival analysis. I have previously co-ordinated and taught several modules on economic evaluation and survival analysis on various MSc courses. Currently, I teach methods for adjusting for treatment switching in clinical trials on the Further Statistical Methods for Health Economic Analysis module on the Health Economics and Decision Modelling MSc.

I have completed the Certificate in Learning and Teaching (PGCertHE), the University Of Sheffield's professional development course in learning and teaching in higher education.

I am currently supervising five PhD students. Abu Alshreef is investigating adjustment for non-adherence in economic evaluation. Rachid Rafia is exploring multi-state models and partitioned survival models for cancer treatments. Amy Chang is researching methods for modelling the effectiveness and cost-effectiveness of treatment sequences. Ash Bullement is investigating survival analysis methods. Saleema Rex is examining the use of causal inference methods to estimate comparative effectiveness using registry datasets.

I am interested in supervising potential students on topics around adjustment for treatment switching in clinical trials, and the use of causal inference methods to estimate comparative effectiveness from observational datasets.

Professional activities and memberships

I have pursued my research interests through a series of research fellowships. In 2012 I completed an NIHR Doctoral Research Fellowship, and in 2018 I completed an NIHR Post-Doctoral Research Fellowship. My current 5-year Yorkshire Cancer Research Fellowship began in January 2019. I also contribute to several other research and consultancy projects in ScHARR.

  • I am a member of NICE Technology Appraisal Committee B
  • I have been a member of the Yorkshire and Humber Research for Patient benefit Programme Regional Advisory committee
  • I am a member of the Health Economists Study Group
  • I am a Fellow of the Higher Education Academy
  • I have been an invited expert for the NICE Scientific Advice Programme.