Statistical / Database Programming R, Stata, Python, PL/SQL, SAS Reproducible well commented segmented code
Statistical Consulting Clear written and verbal communication, interested, organised, excellent problem solving,
Study Design Critical Appraisal, Systematic Reviews, Meta-Analysis, Meta-regression
Statistical Techniques: Generalised Linear Models, Longitudinal/Correlated Outcome Data/Multilevel Modelling, Survival Analysis, Multiple Imputation, generating and simulating
data
Causal Inference Directed Acyclic Graphs, Propensity Scores, Inverse Probability Treatment
Weights, Regression Discontinuity, Differences in Differences, Instrumental Variables, Mendelian Randomisation, Causal Mediation Analysis (incl. sensitivity analysis, time to event,
multiple mediators)
Machine learning Random Forest, Longitudinal K-means, SVM, KNN, Classification and Regression Trees, Linear and generalised models for prediction,
Visualisations Qlik, RStudio (for interactive live visualisations)
Teaching and Supervision of Research Students
Data Management of large linked population data
RCTs Clinical Trials Design, Sample Size, Randomisation Schedule,
Simulation Modelling AnyLogic: Agent Based Simulation, Discrete Events and System Dynamics
Accredited Statistician since 2022: (Statistical Society of Australia)
Member Profile:
https://www.statsoc.org.au/Sys/PublicProfile/48202292/4702721Criteria: Degree in Statistics +
6 years of progressively advanced Statistical Experience + Submission of Major Works +
Maintaining Continual Professional Development + 5 year re-accreditations