Chris Mainey is a Senior Data Scientist/Statistician/Analyst in health informatics. He is a member of the Healthcare Evaluation Data (HED) team at University Hospitals Birmingham NHS Foundation Trust (UHB), and leads development of data science techniques in informatics at UHB.
Chris’ work focuses on modelling National Health Service (NHS) data. He works primarily in R and SQL Server, and has experience with various statistical modelling and machine learning techniques. He completed his PhD at UCL, on modelling NHS incident reporting data using quantitative methods and text mining.
Chris is an experienced trainer, presenter, and post-grad teacher, keen on communicating health data, statistics and ML techniques to a variety of audiences. He leads a local R usergroup at UHB, is a member of the NHS-R community Technical Advisory Group, and is keen to promote R awareness and adoption in the NHS.
This is a personal blog/website and does not reflect the opinions of UHB, HED or any other organisation.
PhD in Applied Statistics and Machine Learning, 2020
University College London (UCL)
PGC in Public Health, 2015
University of Birmingham
BSc in Microbiology with Industrial Experience, 2006
University of Manchester
mgcvpackage is a great idea.
mgcvis awesome, including what regression models are, options for dealing with non-linear relationships, what splines are, and how we can use splines in a Generalized Additive Modle (GAM). Simon Wood’s excellent
mgcvpackage makes this easy to build and fit.
Senior Analyst and data science lead. Responsibilities include:
Senior Analyst and statistical lead. Responsibilities include: