John Stephenson

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

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Personal profile

Google Scholar h-Index

24 Last checked 22 August 2022

2135 Google Scholar Citations


I am a Senior Lecturer 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.

Research Expertise and Interests

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, including: multilevel (hierarchical) modelling; time-to-event/multistate & competing risk modelling; generalised linear modelling/analysis of binary data; multivariate methods; structural equation modelling; epidemiological methods; meta-analysis methods. Risk of bias assessment.

Techniques applied to clinical contexts including: 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.

Research Degree Supervision

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Research Expertise and Interests

  • Biomedical Statistics


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