Statistical Consulting Hub

Top statisticians providing tailored support

We are excited to announce the pilot of the Statistical Consulting Hub within the School of Mathematical and Physical Sciences at Macquarie University.

The Hub unites our statisticians to provide tailored support for research and industry-facing projects. We help organisations without in-house statisticians turn their data into clear, confident decisions. Leveraging our industry experience, academic background, and a network of statistical experts, we translate complex problems into simple, actionable insights.

Our clients use their data with clarity and purpose for:

• tailored workshops (in-house or on-campus)
• expert advice
• data analysis
• manuscript assistance.

Workshop	Date	Content
LMM and Power	Tuesday 23 September	Linear Mixed Models: - Linear mixed effects modelling - Interpreting factor interactions in LMMs - Power analysis (and power estimation in LMMs)
GLMM	Wednesday 12 November	Generalised Linear Mixed Model: - LMMs and GLMMs: model structure, fixed vs random effects, BLUPs, likelihood methods - Hands-on in R: uses lme4, nlme, lmerTest, DHARMa with real-data applications - Assumption checks and tests: overdispersion, F-tests, LRTs, model selection
PCA/factor analysis + Bayesian	Early February 2026	Multivariate: - PCA and factor analysis - Data visualisation (communicating multivariate patterns) - Bayesian approaches (for latent structures and uncertainty)
Time Series + vis	Mid April 2026	Temporal Data   - Time series analysis - Data visualisation for time series
GAMM	Mid June 2026	Generalized Additive Mixed Models (GAMM)
Designing Stats Studies and Models	2026	Design of statistical studies (identifying variables, their types; finding appropriate statistical models)