David Firth

David Firth is a Professor of Statistics at the University of Warwick, having joined in 2003 from the University of Oxford, where he held the position of Professor of Social Statistics. His career includes prior roles at Imperial College London, the University of Texas at Austin, and the University of Southampton. Focused on statistical theory and applications, his research spans generalized nonlinear models, paired comparisons, compositional data analysis, and methodological contributions to fields like public policy and social science. He is a former Editor of the Journal of the Royal Statistical Society (Series B) and has served as an Associate Editor for prominent journals including Biometrika and Biostatistics. Recognized for his contributions, he became a Fellow of the British Academy in 2008 and received the Guy Medal in Silver (2012). He currently holds a Leverhulme Emeritus Fellowship (2023–2025).

Research Interests: Firth’s work emphasizes statistical methodology, with notable contributions to paired comparison models (e.g., Bradley-Terry), compositional data analysis, and bias reduction techniques. His applied research includes election forecasting (e.g., BBC/ITV exit polling), development of deprivation indices (UK’s Index of Multiple Deprivation), and collaborations in biology and ecology. Recent projects explore computational methods for complex statistical models and interdisciplinary applications.

Publications: His 15 most recent articles reflect methodological advancements in regression, paired comparisons, and computational statistics. Key themes include ridge regression for paired comparisons, dynamic Bradley-Terry models in sports, and compositional data analysis frameworks.

Awards: In addition to his British Academy Fellowship and Guy Medal, Firth has been honored for his editorial work and contributions to statistical education. His Leverhulme Fellowship supports ongoing research in statistical methodology.

Advising & Grants: While specific student names are not listed, Firth has advised numerous PhD students in statistical methodology. His grants include funding for collaborative projects on generalized nonlinear models and paired comparison systems. He is actively involved in Warwick’s statistical research community, contributing to conferences and workshops.

Labs/Teams: Collaborates with researchers like Cristiano Varin (paired comparisons), Ioannis Kosmidis (bias reduction), and Heather Turner (R package development). His work bridges academia and policy, exemplified by his election forecasting and deprivation index projects.