Dr Luke Budworth

Profile

I'm a senior data analyst at Bradford Institute for Health Research. I work in one of six NIHR funded patient safety research centres where I provide data science support to all research teams and themes. 

I also lead my own patient safety informatics research, mainly using linked data from the Connected Bradford data warehouse. With this data I am:

- Using cutting edge statistical methods (MAIHDA) to study intersectionality (e.g. being low SES and an ethnic minority) and patient safety indicators (e.g. infection); 
- Training machine learning classifiers to accurately predict patient-level risk of acute deterioration in primary care; 
- Working towards using causal inference methods and theory to study co-produced questions and hypotheses around safety

I also work on various projects across medicine and psychology. To name a few I am:

- Working with clinical staff to develop maternal morbidity risk prediction models from maternal data taken from across the whole of Yorkshire (MEaCC)
- Trial statistician on an upcoming MPS funded RCT to assess a psychological intervention on staff burnout (REBOOT)
- Developing resources and materials to help future researchers interested in patient safety informatics 

...and always much more!

Broadly, I have expertise in statistical programming and analysis and research design. I have experience leading complex research projects in healthcare settings and am active in academia, routinely presenting, publishing, applying for research funding, and peer reviewing. I have much hands on experience building cohorts from electronic health record data, but also working with research data including from observational studies, experiments, and trials. I’m experienced in applying advanced statistical and machine learning methods including Bayesian and frequentist multilevel, general(ised) (non-)linear modelling; causal inference theory and methods; risk prediction modelling; survival and time-to-event modelling; meta-analysis; and missing data theory and imputation methods.

Qualifications

• BSc | Psychology | University of Liverpool
• MSc | Health Psychology | University of Leeds
• MSc | Health Data Analytics | University College London
• PhD | University of Leeds

Professional memberships

• Royal Statistical Society (Fellow)