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Associate Professor Steve Quinn

Associate Professor
PhD, University of Tasmania, Australia; M. Math, University of Newcastle, Australia; B. Math (Hons), University of Newcastle, Australia


A/Prof. Stephen Quinn is a senior biostatistician.  He is experienced in all forms of multilevel mixed modelling and structural equation modelling. He is also engaged in a statistical methodological research stream in assessing goodness-of-fit in binary regression models.

A/Prof. Quinn has co-authored in aproximately 120 peer-reviewed publications and been successful in attracting funds on 19 NHMRC, ARC and partnership grants as well as many more minor grants. He uses software platforms such as Stata for conventional regression modelling and SPSS/AMOS for exploratory and confirmatory factor analysis and structural equation modelling, along with R and SAS. He is also active in consultancy in external projects.

A/Prof. Quinn’s previous academic experience includes roles with the Menzies Research Institute Tasmania as a consultant biostatistician working in the area of population health and non-communicable diseases. He is currently a CI on four NHMRC grant applications. He is currently the primary supervisor of one PH Degree student and the co-supervisor of two PhD students. 

Research interests

Mathematical modelling; Biostatistics

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.


Available to supervise honours students.

Honours topics and outlines

Evaluating logistic regression models: Goodness of fit statistics for logistic regression models have been studied extensively, but in models with only a small number or predictors. This project would extend the currently known results by considering more complex models with several continuous and dichotomous predictors, using pre-written code in various scenarios.

Goodness-of-fit for log-log models: Goodness-of-fit refers to how well the observed outcomes are modelled by the predictors in the model.    Little work has been done in evaluating goodness-of-fit for most forms of binary regression. This project would examine the performance of several statistics in evaluating goodness-of-fit for log-log regression models The project involves applying already written code in various scenarios.

Fields of Research

  • Statistics - 490500
  • Health Services And Systems - 420300
  • Public Health - 420600

Teaching areas

Mathematical modelling;Biostatistics


  • 2003, Other, Dean's Honours list for an outstanding PhD, University of Tasmania


Also published as: Quinn, Steve; Quinn, S.; Quinn, Stephen; Quinn, S. J.; Quinn, Stephen J.; Quinn, Steve J.; Quinn, Steven
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2023: EMBED: A stepped wedge cluster randomised trial of a tailored, integrated model of care to reduce symptoms of depression in home aged care *; Dementia Ageing and Aged Care Mission
  • 2023: Impact of non-invasive coronary angiography on suspected acute coronary syndromes with low concentration troponin elevation *; Cardiovascular Health Mission
  • 2022: Solving Unknown Primary cancER Earlier Diagnosis (SUPER-ED): A stepped wedge cluster randomised controlled trial implementing a new model of care to support earlier diagnosis *; Emerging Priorities and Consumer Driven Research Initiative - Improving Diagnosis in Cancers with Low Survival Rates
  • 2020: SUPER- NEXT Complete Whole Genome Sequencing for Cancer of Unknown Primary *; The University of Melbourne
  • 2020: SUPER- NEXT Complete Whole Genome Sequencing for Cancer of Unknown Primary *; Peter MacCallum Cancer Institute
  • 2019: SUPER/CasesCUP Cohort *; Peter MacCallum Cancer Institute
  • 2018: A Randomised Evaluation of the Appropriateness of Anatomic Coronary Investigation in Cardiac Injury/MI Type 2 *; NHMRC Project Grants
  • 2018: Australian Centre for Electromagnetic Bioeffects Research: Centres of Research Excellence in Clinical Research *; NHMRC Centres of Research Excellence
  • 2018: ELders AT Ease Program (ELATE): A cluster randomised controlled trial of a sustainable and scalable mental health service for Australian residential aged care facilities *; NHMRC Targeted Call for Research
  • 2018: Electroretinograms in families with autism spectrum disorder *; Alan B. Slifka Foundation
  • 2018: Improving oral medication adherence and reducing medication errors in cancer treatment *; Victorian Cancer Agency Funding Scheme
  • 2018: Pathways to re-integration among Indigenous and non-Indigenous women: The role of social, economic and psychological empowerment. *; Department of Justice, Corrective Services NSW
  • 2017: Improving cardiovascular health and quality of life in people with severe mental illness: a randomised trial of a ‘partners in health’ intervention *; NHMRC Project Grants
  • 2017: Improving Rapid Decision-Making in the Face of Uncertainty: A randomised trial of a 1-hour troponin protocol in suspected acute coronary syndromes *; NHMRC Project Grants

* Chief Investigator

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