معرفی
Dr. Ewan Carr is a Senior Lecturer in Biostatistics at King's College London's Department of Biostatistics & Health Informatics, part of the Institute of Psychiatry, Psychology & Neuroscience (IoPPN). He previously worked at University College London in the Epidemiology and Public Health Department. His academic credentials include a MSc in Social Research Methods and Statistics and a PhD in Social Statistics from the University of Manchester.
His research focuses on applying advanced statistical techniques to longitudinal and clinical datasets to understand treatment effects and mental-physical health interactions. Key areas include latent variable modeling, multilevel analysis, survival analysis, and machine learning. He teaches statistical programming (R/Python) and contributes to courses like 'Statistical Programming', 'Statistical Modelling', and 'Research methods for multilevel data'.
Dr. Carr's work spans projects funded by the MRC (e.g., ART-transition program on ADHD) and Wellcome Trust (predicting anxiety treatment outcomes). He leads the Mental Health & Neuroscience Clinical Trial Statistics Group, specializing in clinical trial design. Notable collaborations include studies on opioid use disorder interventions, digital mental health platforms, and speech-based depression biomarkers.
Publications emphasize methodological innovation in mental health research, with a focus on remote monitoring, feasibility trials, and predictive modeling. His team’s work includes developing tools like the Maudsley Modified Patient Health Questionnaire and the Antidepressant Advisor (ADeSS) decision support system.
