Cameron Patrick
Statistical Consultant
Consulting
I joined the Statistical Consulting Centre in 2017 after completing a Master of Science in probability and statistics.
In my time in the Statistical Consulting Centre, I have assisted over 200 PhD students with statistical methods for their research, and collaborated with many University of Melbourne staff and external clients. This has given me very wide ranging experience in the application of different statistical methodologies across many different disciplines within the sciences and social sciences.
My main statistical focus is applied biostatistics, with particular interests in missing data and causal inference. My expertise includes fitting mixed models. I also have interests in ecological modelling, spatial data and data visualisation.
Examples
Here are some examples of my consulting work:
- Gender differences in patent applications in Australia
- Spatial mapping to quantify species abundance
- Modelling and mapping unmet need for legal services in Victoria
- Using multiple imputation to deal with missing data in the analysis of a complex randomised trial
Research
My Masters thesis was on capture-recapture analysis of platypus populations in the great Melbourne area, using spatial information to estimate population density and habitat size in different parts of the Yarra river network. Before this, I worked as a software developer, working on tools for analysis and visualisation of seismic and geophysical data. This experience has informed my statistical interests as well as giving me a background in computational methods which are becoming increasingly prevalent in statistics.
I am also a PhD student with the Clinical Epidemiology & Biostatistics Unit (CEBU) at the Murdoch Children’s Research Institute in Melbourne, Australia. My research is about estimating complier average causal effects (CACE) in clinical trials in the presence of missing data.
Resources
Here are sample of free statistical resources I have been developing with other staff from the Statistical Consulting Centre:
Teaching
With colleagues, I have developed and teach two popular workshops using R software. Click the accordion to see more details.
-
Sandy Clarke-Errey and I developed and teach the popular workshop Introduction to R and Reproducible Research. Graham Hepworth and I developed and teach Mixed Models in R.
With the use of R in the university and industry rapidly growing, we developed these courses to respond to the need for clear, accessible training.
I also assist in the teaching of the popular Statistics for Research Workers using R and RMarkdown course.
Contact
cameron.patrick@unimelb.edu.au
(03) 8344 5295
Find an Expert