Toggle Main Menu Toggle Search

Open Access padlockePrints

Additive isotonic regression models in epidemiology (Review)

Lookup NU author(s): Professor Louise Parker, Dr Heather Dickinson


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Stone's method for assessing disease risk around a point source through isotonic regression is routinely used in spatial epidemiology. It is useful in situations where the relationship of risk with exposure (distance being commonly used as a surrogate variable) is assumed monotonic but otherwise of unknown form. This paper extends this method to non-spatial epidemiology, where typically two or more risk factors are present. The methodology described is based on the additive isotonic model approach of Bacchetti; versions appropriate to count (Poisson) data and case-control (binomial) data are described. In both cases, adjustment for covariates is incorporated, and a Monte Carlo method of hypothesis testing and interval estimation is presented. The methodology is illustrated through a case-control example concerning the analysis of the possible effect of preconceptional external ionizing radiation doses on the sex ratio at birth among children of fathers working at the Sellafield nuclear installation, Cumbria, U.K. Copyright (C) 2000 John Wiley and Sons, Ltd.

Publication metadata

Author(s): Parker L; Dickinson HO; Morton-Jones T; Diggle P; Binks K

Publication type: Review

Publication status: Published

Journal: Statistics in Medicine

Year: 2000

Volume: 19

Issue: 6

Pages: 849-859

ISSN (print): 0277-6715

ISSN (electronic): 1097-0258


DOI: 10.1002/(SICI)1097-0258(20000330)19:6<849::AID-SIM410>3.0.CO;2-D

PubMed id: 10734288