معرفی
Lee Middleton serves as Clinical Associate Professor (Reader in Clinical Trials) at the Birmingham Clinical Trials Unit, University of Birmingham. With extensive experience in clinical trial methodology, he has contributed significantly to numerous high-impact randomized controlled trials across various medical specialties, particularly in women's health and surgical interventions.
His educational background includes a BSc (Hons) in Mathematics from the University of Manchester (1998) and an MSc in Statistics from the University of Kent (2001). After working as a Statistician at Syngenta (formerly Zeneca Agrochemicals), he joined the Birmingham Clinical Trials Unit (BCTU) in 2007 as a Medical Statistician, progressing to Senior Statistician, Statistics Team Leader, and ultimately achieving his current Reader position.
Lee has developed expertise in multiple clinical trial designs through his work on over 20 successfully funded NIHR grants. His research spans pilot and feasibility studies, surgical trials (including expertise-based designs), factorial trials, non-inferiority approaches, cluster-randomised trials, comprehensive cohort designs, and trials of tests. He also maintains strong interests in diagnostic studies and individual patient data meta-analysis.
His recent publications demonstrate a consistent focus on methodological rigor in clinical trials, with particular emphasis on gynecological and obstetric interventions. The 2025 publications reveal ongoing work in surgical trials (particularly hysterectomy approaches), postpartum hemorrhage management, statistical methodology for risk estimation, and labor interventions - showing both clinical application and methodological advancement.
- Over 20 successfully funded NIHR grants
- Principal or co-investigator on numerous active projects including E-MASTER, RfPB, IMPROVE DKD Trial, TONIC, and NIHR Birmingham Keele Warwick RSS
- Active collaboration with international researchers across multiple continents
Lee Middleton leads statistical aspects of trial design, conduct, presentation and dissemination for a diverse portfolio of high-quality late phase RCTs. His work bridges statistical methodology with clinical application, particularly in women's health research, and demonstrates significant impact through implementation in both high and low-resource settings globally.
