Overview
David Clayton is a British medical statistician (Leicester, later Cambridge) known for foundational contributions to biostatistics and epidemiology — frailty models for correlated survival data (Clayton 1978, the Clayton copula), empirical-Bayes disease mapping (Clayton-Kaldor 1987), and genetic epidemiology.
Key Contributions / Features
- Co-author of Aitkin-Clayton (1980), the GLIM/Poisson approach to parametric censored survival regression.
- The Clayton (1978) bivariate-life-table association model (Clayton copula) for frailty/dependence in survival data; Clayton-Kaldor (1987) empirical-Bayes disease mapping.
- Clayton (1991) — "A Monte Carlo Method for Bayesian Inference in Frailty Models," Biometrics 47(2): 467–485. An early application of Gibbs sampling in survival analysis: the frailty model cast as a hierarchical graphical model (gamma-process baseline hazard, gamma frailty) and sampled by stochastic substitution (Frailty Model).
- Gilks et al. (1993) — coauthor of "Modelling Complexity: Applications of Gibbs Sampling in Medicine" (JRSS-B), the MRC Biostatistics Unit survey of MCMC across biostatistics (Gibbs Sampler).
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