Biostatistics, Data Analytics / Modelling and Health Economics

Biostatistics, Data Analytics / Modelling
and Health Economics

Professor Danny LiewProfessor Andrew ForbesLeads

Professor Andrew Forbes and Professor Danny Liew

This team lends biostatistical and methodological expertise to research projects within the School, conducts novel research into emerging methodologies that advance complex research, and provides economic intelligence for healthcare policy and decision-making.

Our biostatisticians engage in methodological research to solve practical problems in clinical research, and are actively involved in the School's teaching programs in biostatistics, clinical research and public health.

We also house the Biostatistics Consulting Platform, which provides high-quality biostatistical support to researchers at Monash University's Faculty of Medicine, Nursing and Health Sciences and the Alfred Hospital, as well as other hospitals, institutes and health service groups. The Biostatistics Consulting Platform is subsidised by the Monash Faculty of Medicine, Nursing and Health Sciences and the Alfred Hospital.

The Epidemiological Modelling team build complex models to project the spread of disease and the effects of mitigation strategies or treatment. They work closely with the World Health Organization and the Bill and Melinda Gates Foundation’s Global Fund to Fight AIDS, Tuberculosis and Malaria to eliminate multi-resistant tuberculosis in the South Pacific, and made important contributions to Australia’s COVID-19 planning.

Our health economics researchers develop epidemiological and economic models to evaluate the real-world impact of ill-health and the benefits of treatments and interventions, translating measures of efficacy into measures of effectiveness and cost-effectiveness. The team consults to all levels of Australian and international governments, as well as private healthcare industry, and their commercial-in-confidence projects have led to reimbursement of a multitude of treatments and therapies.

Research groups