About
Peter Kimani is an Associate Professor in Medical Statistics at the Warwick Clinical Trials Unit (WMS), University of Warwick. He has held this position since joining Warwick Medical School in 2009, initially as a research fellow after completing his PhD in Statistics at the University of Warwick. His core roles include statistical editorial work for Child Abuse Review and Statistics in Medicine, and leadership in adaptive clinical trial methodology.
- Education:
- PhD in Statistics (University of Warwick)
- MSc Biostatistics (Universiteit Hasselt, Belgium)
- MSc Applied Statistics (Universiteit Hasselt, Belgium)
- BSc Mathematics (University of Nairobi, Kenya)
His research focuses on adaptive clinical trial design, particularly developing unbiased estimators and optimal treatment selection models. He also investigates health technology assessment via parametric survival models, digital pathology validation for cancer screening, and public health impact of antiretroviral therapy on comorbidities. Collaborative projects span cardiovascular outcomes, resuscitation training efficacy, and HIV-related epidemiology.
Peter’s work demonstrates a strong emphasis on methodological advancements in clinical trials while addressing real-world healthcare challenges. Recent studies highlight innovations in pandemic-responsive trial designs, digital diagnostic tools, and translational research linking statistical models to clinical practice.
Grants & Advising: He leads MRC-funded projects on unbiased estimation in platform trials (2024–2026) and has secured NIHR grants for digital pathology validation (2023–2026) and cardiac rehabilitation studies (2018–2021). Mentored research includes a MRC CASE studentship and Novartis-funded studies on adaptive designs. No formal advisee/students are listed in his profile.
Labs/Teams: Core member of the Warwick Clinical Trials Unit, contributing statistical expertise to multidisciplinary teams. Active in editorial roles for major medical journals, including Child Abuse Review and Statistics in Medicine.
