Stephen Nash

Stephen Nash

Telephone: +46852482358
Visiting address: Nobels väg 12a, 17165 Solna
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 Applied Biostatistics ABS, 171 77 Stockholm

About me

  • I am a statistician working in MEB. I specialise in clinical trial design,  

  • and also enjoy coding in Stata and teaching. 
  • I graduated with an MSc in Medical Statistics from the London School of 
  • Hygiene and Tropical Medicine in 2013. Since then I have worked at King's 
  • College London (Institute of Psychology), University College London (CRUK 
  • Cancer Trials Centre) and, from 2015-2020, in the International Statistics 
  • and Epidemiology group at LSHTM. I have also held short-term posts at the 
  • University of Oxford (The Jenner Institute) and as an education specialist at 
  • LSHTM during the Covid pandemic. 
  • I joined MEB at Karolina Institutet in March 2023, and work in the 
  • Applied Biostatistics Group.


  • I am currently working on a number of clinical trials at MEB.


  • I helping with the design of the SMART trial, to investigate breast cancer screening intervals and modalities (working alongside the KARMA cohort). This trial seeks to measure both the benefit and harms of increased screening among women who we identify as being those who would most likely benefit from it. I am also the statistician for an ongoing cluster randomised trial to investigate if changes to health centre IT systems can increase the detection of people with chronic kidney disease.


  • I am currently funded to provide one day per week support to Clinicum. This is part of a region-wide initiative between Karolinska Institutet and Region Stockholm which offers free scientific advice and provides methodological support and guidance in the planning and execution of research projects.


  • I have broad experience in both statistics and epidemiology, design and analysis. I particularly enjoy designing studies to make a real impact on clinical outcomes. I have co-written two Stata programs: clan, which performs cluster-level analysis on data from cluster randomised trials, and slopepower, which calculates sample size estimates for studies where the outcome is a rate over time, and you have prior data.


  • I teach on (and helped write) the Statistics course for the Master's Programme in Molecular Techniques in Life Science. The course ran for the first time from December 2023.


  • From autumn 2025 I will teach the Clinical Trials component on the new Masters in Biostatistics and Data Science.


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