John Stephenson

Dr, Research Fellow of Australian Catholic University, Adjunct Associate Professor, Swinburne University of Technology

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Last updated 18th April 2024


I am a Reader (equivalent to Associate Professor) in Biomedical Statistics, having joined the University of Huddersfield (School of Human and Health Sciences) in January 2010. I am also Adjunct Associate Professor at Swinburne Univerity of Technology, Melbourne, Australia; and an Honorary Senior Lecturer at University of Sydney, Australia.

I was a Visiting Research Fellow at Australian Catholic University (ACU), Melbourne, Australia, in 2015, and held an Honorary Fellowship with ACU from 2015 to 2018. I was also a Visiting Research Fellow in the Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia, in 2017.

Before joining the University of Huddersfield, I was employed as an engineer for about 10 years in the nuclear industry; initially for the UK Atomic Energy Authority, and subsequently for British Energy.

Academic qualifications: BSc(Hons) (Mathematics, University of Sheffield 1990); MSc(Eng), MPhil (Materials Science, University of Liverpool 1993, 1997); PhD (Biomedical Statistics, Cardiff University 2010).

Professional qualifications: Graduate Statistician Member of the Royal Statistical Society (FRSS GradStat) since 2006. Achieved Chartered Mathematician status with the Institute of Mathematics and its Applications (CMath MIMA) in 2007.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 1 - No Poverty
  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 8 - Decent Work and Economic Growth
  • SDG 10 - Reduced Inequalities
  • SDG 16 - Peace, Justice and Strong Institutions

Research Expertise and Interests

  • Biomedical Statistics
  • Research study design
  • Sample size calculation
  • Methods for treatment of missing data
  • Questionnaire design
  • Assessment of instrument validity and reliability
  • Data analysis using advanced statistical methodologies
  • Multilevel (hierarchical) modelling
  • Time-to-event/multistate & competing risk modelling
  • Generalised linear modelling/analysis of binary dat
  • Multivariate methods
  • Structural equation modelling
  • Epidemiological methods
  • Meta-analysis methods
  • Risk of bias assessment
  • Techniques applied to clinical contexts
  • primary caries
  • wound care/tissue viability studies
  • ophthalmology
  • pharmaceutical studies
  • spinal surgery
  • surgical site infections
  • podiatric and lower limb studies
  • cancer
  • mental health
  • pressure injuries
  • dermatitis
  • clinical education


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