D
David Clayton
Researcher at University of Leicester
Publications - 18
Citations - 4835
David Clayton is an academic researcher from University of Leicester. The author has contributed to research in topics: Regression analysis & GLIM. The author has an hindex of 13, co-authored 18 publications receiving 4692 citations. Previous affiliations of David Clayton include Leicester Royal Infirmary.
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Journal ArticleDOI
Empirical Bayes estimates of age-standardized relative risks for use in disease mapping.
David Clayton,John M. Kaldor +1 more
TL;DR: A new approach using empirical Bayes estimation is proposed to map incidence and mortality from diseases such as cancer and the resulting estimators represent a weighted compromise between the SMR, the overall mean relative rate, and a local mean of the relative rate in nearby areas.
Journal ArticleDOI
Models for temporal variation in cancer rates. II: Age–period–cohort models
David Clayton,E Schifflers +1 more
TL;DR: The age-period-cohort model is described and its ambiguities surrounding regular trends 'intensify' are shown and methods for presenting the results of analyses based upon this model which minimize the serious risk of misleading implications are recommended.
Journal ArticleDOI
Models for temporal variation in cancer rates. I: Age-period and age-cohort models.
David Clayton,E. Schifflers +1 more
TL;DR: The modern approach to the analysis of data which justifies traditional methods of age standardization in terms of the multiplicative risk model is reviewed and the serious difficulties which attend the interpretation of regular trends are demonstrated.
Journal Article
Multivariate generalizations of the proportional hazards model
David Clayton,Jack Cuzick +1 more
TL;DR: In this paper, a new approach to the analysis of bivariate survival data is presented, which involves the development of a model for bivariate life-tables with a single association parameter which is unaffected by monotone transformation of the marginal distributions.
Journal ArticleDOI
Multivariate Generalizations of the Proportional Hazards Model
David Clayton,Jack Cuzick +1 more
TL;DR: In this paper, a new approach to the analysis of bivariate survival data is presented, which involves the development of a model for bivariate life-tables with a single association parameter which is unaffected by monotone transformation of the marginal distributions.