We have had many decades of experience in successful research, consulting, simulation and modelling, project supervision and mentoring.
The members of our team are qualified at the PhD level or above, with the specific expertise in data analysis, statistical modelling, simulation of complex systems, operations and networks, preparation of consulting and scientific reports, papers and presentations. Our members have also had many decades of research, consulting and teaching experience at academic, research and private institutions in Australia and overseas.
Our expertise in analytic consulting, data analysis, simulation and modelling includes the following areas:
- Simulation and optimisation of complex business operations and resource management, including service providing bodies, queuing and scheduling network problems, supply chains, etc.;
- Analytical decision analysis and optimisation, including in the context of human resource management;
- Spots bets and investments - statistical analysis and predictions;
- Health economics, econometric models and finance;
- Global people movements, migration and demographic changes - trends and predictions;
- Proliferation of pests and diseases including epidemiology and pest control;
- Climate change, environment and ecology - analysis of dynamics, trends and predictions;
- Clinical trials, sports science and medical research;
- Social trends and predictions, education, population health, living standards, housing, etc.;
- Political and election trends;
- Data analysis and decision-making on the basis of surveys and questionnaires.
Our expertise and exceptional capability to deliver valuable outcomes is evidenced by more than 350 papers of our members in refereed journals, conference proceedings and symposia, including dozens of invited presentations.
Examples of statistical methods and approaches we can use:
- Graphic and descriptive techniques, correlations, t-tests, ANOVA, Cronbach’s alpha, proportions, etc.;
- Continuous and categorical data;
- Sample size determination and power calculation;
- Principal component analysis and canonical correlations;
- Survival analysis, extended and stratified Cox regressions, recurrent events, competing risks, and episode splitting;
- Generalised linear models;
- Mixed effects models and multi-level models;
- Generalised Estimating Equations (GEE);
- Cluster analysis and multilevel modelling;
- Growth curve models, Poisson and negative binomial regressions with clustering;
- Multivariate analysis, MANOVA, seemingly unrelated regressions, etc.;
- Regressions with measurement errors and constraints;
- ROC-curve approaches including ROC regressions for biomarker analysis;
- Model averaging approaches and relative variable importance;
- Structural Equation Modelling (SEM) and generalised SEM;
- Factor analyses;
- Analysis of spatially correlated data for environmental, ecological, epidemiological, economical and political applications;
- Time series and autocorrelated data;
- High-performance computing and data analyses (Linux platform);
- Multidimensional data modelling (including netCDF files);
- Data management and manipulation of particularly large databases.
Other analytical methodologies:
- ExtendSim and/or AnyLogic software packages for simulation and optimisation of complex service-providing systems, networks and resources;
- Discrete event simulation models;
- Frontier models, non-parametric approaches in econometrics and linear programming techniques;
- Analytical decision-making, analytic hierarchy process, and choice models;
- Geographic information system (GIS);
- A variety of theoretical modelling techniques in environmental and atmospheric sciences, sustainable development and renewable energy, transport and industry emissions.
We have extensive experience and advanced expertise in a wide variety of software packages including S-Plus, R, R on Linux, Stata (including the GLLAMM package), SPSS, Minitab, ExtendSim (for operations research simulations), Matlab, Mathematica, COMSOL, etc.
