Statistical consulting

Our team in Swinburne's Department of Statistics, Data Science and Epidemiology comes with considerable experience across a wide range of fields. We have expertise dealing with complex small and big Data problems. Our solutions are data-driven and evidence-based aimed at providing demonstrable results.

Services

Data preparation and questionnaire design

  • Preparing data for analyses (assumption testing, missing value analysis)
  • Questionnaire design and data collection methods
  • Questionnaire construction and testing
  • Study and research design, for experiments and surveys involving:
    • Sampling and power analyses
    • Choice of sample size
    • Choice of statistical methodology
  • Data management and verification

Data Analytics

  • Statistical analytic strategies including Business analytics and Education analytics
  • Data mining and analytics

Data interpretation, reporting and writing of results

  • Interpretation of analyses and statistical reasoning, Communication of statistical findings, tailored to the audience
  • Quality graphical presentations
  • Critical review of quantitative research and reasoning

Other

  • Bayesian statistics
  • Expert witness needs, e.g. legal, industry, forensic.
  • Expert opinion and advice on research grant applications (at the discretion of the consultant)

Statistical software

  • AMOS, EQS, GAUSS, HLM, LATENTGOLD, LISREL, Minitab, MPLUS, MLWIN, R, SAS, SAS Enterprise miner, SAS text mining, SPSS, Stata, Rasch

Expertise

We have considerable experience across a wide range of fields. We have expertise dealing with complex small and big Data problems. Our solutions are data-driven and evidence-based aimed at providing demonstrable results.

  • Advanced modelling – survival analysis, advanced Structural equation modelling, Confirmatory factor analysis.
  • Health analytics – clinical trials and longitudinal analyses of health.
  • Econometrics and Business modelling.
  • Data Mining and Data Science
  • Social survey research, personalised medicine, GM foods.
  • Sports statistics - AFL and tennis metrics of success. 
  • Ecological statistics.
  • Statistics in Education.
  • Mathematical statistics and computing.
  • Meta-analysis and systematic reviews.
  • Time-series analysis – change point methods, forecasting.

Clients

We have delivered quality services and work to a wide range of clients, from individual PhD students at Swinburne through to private companies, government entities, and firms. Some of our clients to date have included:

  • NSW Bureau of Crime Statistics and Research
  • St Vincent’s Hospital
  • Epworth Hospital
  • Virgin Pulse
  • SiSU Wellness
  • NSW Corrections Services
  • Guide Dogs Victoria
  • Champion data (Sports, Football)
  • Melbourne Storm
  • Tennis Australia
  • Richmond Football Club
  • Centre for Law and Genetics
  • Royal Children's Hospital
  • Royal Hobart Hospital
  • Vic Roads
  • Banule Community Health

Contact us

To explore how we can help you please contact:

Professor Irene Hudson
Professor of Statistics, Data Science and Epidemiology
Phone: +61 3 9214 8030
Email: lhudson@swin.edu.au