Dr Michael Fahey
- Faculty of Health, Arts & Design
- Department of Statistics Data Science and Epidemiology
- ATC1027 Hawthorn campus
I started with Swinburne as a biostatistician in the Department of Statistics, Data Science and Epidemiology in October, 2015. Previously, I had worked for Monash University, CSIRO and the Medical Research Council's Biostatistics Unit (UK), where I did my PhD. Much of my research work has been on, or related to, large, multi-centre longitudinal studies of chronic disease. This work has involved projects based in Australia, Europe and Japan. I presently collaborate with Epworth Hospital on prostate cancer research including an international study of active surveillance for the management of low-grade cancer. I also work on statistical methods for taking account of exposure measurement error in collaboration with Monash University and Cancer Council Victoria. My other research interests include the design and analysis of validation studies, and latent variable methods for statistical analysis. Teaching and student supervisions are also part of my role at Swinburne University.
I'm an Adjunct Senior Research Fellow at Monash University.
Advanced Statistics and Big Data; Biostatistics; Epidemiology; Health research design
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Associate.
Available to supervise honours students.
Fields of Research
- Biostatistics - 010402
- Applied Statistics - 010401
Bayesian statistics, Statistical decision making, Random effects models, Generalised linear models
Also published as: Fahey, Michael; Fahey, M.
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, contact us to update.
Recent research grants awarded
- 2016: Evaluation of e-counselling effectiveness in the Veterans and Veterans Families Counselling Service *; Veterans and Veterans Families Counselling Service
- 2016: GAP3 Active Services *; Epworth Healthcare
* Chief Investigator
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