Sir David Roxbee Cox (15 July 1924 – 18 January 2022) was a preeminent British statistician whose work profoundly influenced statistical theory and practice across diverse fields, including medicine, epidemiology, engineering, and social sciences. He is most renowned for the development of the proportional hazards model, commonly known as the Cox model, which is a cornerstone of survival analysis. His contributions also include the Cox process, significant work on logistic regression, experimental design, and stochastic processes. Educated at St John's College, Cambridge, and the University of Leeds, he held academic positions at Birkbeck College, Imperial College London, and Nuffield College, Oxford, where he was Warden. His clear writing, insightful lectures, and mentorship guided generations of statisticians. He was known for his intellectual rigor, modesty, and dedication to advancing statistical science for practical application.
David Cox's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Developed in 1972, this semi-parametric regression model is a fundamental tool in survival analysis for investigating the association between patient survival times and one or more predictor variables. It revolutionized medical research and is widely used in clinical trials and epidemiological studies.
Awarded by the Royal Society in 2010, its oldest and most prestigious award, for his seminal contributions to statistical theory and its application, particularly the Cox proportional hazards model.
Knighted by Queen Elizabeth II in 1985 for his services to statistics, recognizing his significant impact on the field.
Received from the Royal Statistical Society in 1973, the society's highest honor, for his groundbreaking work and influential papers.
Awarded the inaugural International Prize in Statistics in 2016 (often described as the 'Nobel Prize of Statistics') for his survival analysis model applied in medicine, science, and engineering.
A type of point process, also known as a doubly stochastic Poisson process, named after him due to his significant contributions to its theory and application in modeling clustered events.
Authored and co-authored numerous seminal textbooks and research monographs, including 'Theoretical Statistics' (with D.V. Hinkley) and 'The Design of Experiments', which have educated and guided statisticians for decades.
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