Simple explanation of ROC and discrimination in classifier models
I am a statistician based at the Clinical Research Design and Statistics unit at the Hunter Medical Research Institute (HMRI). I provide statistical support to researchers in study design and methodology and/or undertake data management and analyses for them. I work across a broad range of projects tailoring solutions to address research questions within the constraints of available budgets and resources.
Prior to life as a statistician I spent 15 years in Software Engineering and Analyst roles. Immediately prior to my roleat HMRI, I was a Senior Consultant at a forestry technical services company with responsibility for survey and inventory design, optimising recovery from forest estates, due diligence assessments, constructing valuation models and working on climate change projects. Having to critically appraise data within an objective and unbiased framework and then characterise uncertainty led me to study statistics and ultimately to my current role.
My goals are simple - to continue developing my knowledge of statistical methods and to help clients value and leverage that knowledge across all aspects of their work.
Msc in Biostatistics, 2018
University of Sydney
Post Graduate Certificate in Applied Statistics, 2013
Charles Sturt University
Post Graduate Diploma in Forest Ecosystem Science, 2013
University of Melbourne
Msc in Computer Aided Graphical Technology Applications, 1997
Univeristy of Teesside, UK
BSc in Applied Physics, 1995
Brunel Univeristy, UK
Simple explanation of ROC and discrimination in classifier models
Survival analysis in the presence of competing risks
First of a series of posts summarising Statistical Rethinking by McElreath
Setting up Zotero to work with Dropbox