Poisson excess relative risk models : new implementations and software
Higueras Hernáez, Manuel (Universidad de La Rioja. Departamento de Matemáticas y Computación)
Howes, Adam (Basque Center for Applied Mathematics - BCAM)

Date:	2018
Abstract:	Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background risk is modelled by a unique categorical variable, for example gender or attained age levels. Additionally, it is shown how to fit general Poisson linear relative risk models in R. Both simple methods and the R fitting are illustrated in three examples. The first two examples are from the radiation epidemiology literature. Data in the third example are randomly generated with the purpose of sharing it jointly with the R scripts.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Radiation epidemiology ; Poisson non-linear regression ; Improper priors ; R programming
Published in:	SORT : statistics and operations research transactions, Vol. 42 Núm. 2 (July-December 2018) , p. 237-252 (Articles) , ISSN 2013-8830

Adreça alternativa: https://raco.cat/index.php/SORT/article/view/347340
DOI: 10.2436/20.8080.02.76

16 p, 542.3 KB

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