Dr Ewan Carr is a Maudsley Biomedical Research Centre (BRC) Statistician and Research Fellow at the Department of Biostatistics and Health Informatics, King’s College London. He gained his PhD in Social Statistics (University of Manchester, 2014) and previously worked at the Research Department of Epidemiology & Public Health, UCL.
He is interested in applying novel statistical techniques to longitudinal and routinely-collected clinical datasets to better understand heterogeneous treatment effects and to unpick interactions between mental and physical health. His current projects centre around the BRC theme of “Bioinformatics and Statistics” and include prediction modelling, latent variable techniques (CFA, LCA), multilevel modelling (growth curves), and time series modelling (dynamic SEM), with collaborators at the Institute of Psychiatry, Psychology and Neuroscience, GSTT and KCH.
National Text Analytics Resource
When you visit your doctor or attend hospital, information collected about you, including your symptoms, tests, investigations, diagnosis, and treatments, is entered on computers as electronic...
HDR UK Text Analytics National Implementation Project Team
30 July 2020
This team was highly commended in Health Data Research UK's 2020 Team of the Year competition, their nomination was led by the team's early career contingent: Rebecca Bendayan, Ewan Carr and...
Analysis of text written by doctors in medical notes of patients with COVID-19 (National Text Analytics project – ACE inhibitors)
14 April 2020
Analysis of text written by doctors is being used to find and extract patterns and hidden nuances within medical notes of those who have tested positive for COVID-19.