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 University of Cambridge, where I did my PhD. I have worked on several large, multi-centre longitudinal studies of chronic disease (Europe, Japan, Australia), and in particular, statistical methods to deal with measurement error.
My educational background is in mathematics and statistics. I use quantitative skills along with programming, and the manipulation, visualisation and analysis of data to find solutions to problems in science, medicine and society. My work often involves prediction, modelling, segmentation and simulation. I have domain knowledge of data collected in health, biology, engineering and the behavioural sciences. My other research interests include application of Bayesian statistics and structural equations models.
I'm an Adjunct Senior Research Fellow at Monash University and a senior research associate at Epworth Healthcare.
Advanced Statistics and Big Data; Nutrition; Epidemiology; prediction modelling; measurement error; engineering statistics; structural equations modelling; multilevel modelling
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Associate Supervisor.
PhD topics and outlines
Prediction of hospital falls using clinical and other patient data:
Use of MRI to select cancer patients for active surveillance:
Available to supervise honours students.
Honours topics and outlines
Prediction of progression from low to higher grade prostate cancer
Fields of Research
- Pattern Recognition And Data Mining - 080109
- Applied Statistics - 010401
- Epidemiology - 111706
regression modelling;probability;simulation methods;estimation methods;correlated data analysis;Bayesian statistics;statistical learning and prediction;model evaluation
Also published as: Fahey, Michael; Fahey, M.
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
- 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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