Biostatistics
Biostatistics, also known as medical statistics, is central to the development
and practice of modern medicine. Indeed, without biostatistical principles for
the conduct of clinical trials and epidemiological studies, the pharmaceutical
industry would not exist. Biostatistics has driven a great of novel statistical
methodology over the past three decades, and top universities around the world
have whole departments devoted to biostatistics. This is an area of critical
skills shortage in Australia, and the School of Mathematical Sciences has one of
the few strong biostatistical groups in this country.
| Researcher |
Interests |
|
| Zudi Lu [1] |
Time series analysis, Stochastic and financial modelling, Biostatistics |
|
| Gary Glonek [2] |
Biostatistics, Epidemiology, Statistical computing, Bayesian analysis, Analysis of categorical data, Gene expression studies, Design and analysis of microarray and other experiments, Statistical data mining |
|
| Inge Koch [3] |
Biostatistics, Data mining, Multivariate analysis of high-dimensional data |
|
| Andrew Metcalfe [4] |
Statistics for hydrology modelling, Engineering statistics, Design of factorial microarray experiments |
|
| Patty Solomon [5] |
Biostatistics, Survival analysis, Clinical trials, Critical care medicine, Monitoring and assessing health outcomes, Epidemiology, Components of variance, Gene expression studies, Design and analysis of microarray and other experiments, Analysis of proteomic spectra, Gene and protein networks, Statistical data mining |
|
| Simon Tuke [6] |
Biostatistics, Statistical equivalence, Analysis of microarray data, Time course microarray experiments |
|
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