Por favor, use este identificador para citar o enlazar este ítem:
https://doi.org/10.1093/aje/kwab262
Twittear
Título: | Estimating Country-Specific Incidence Rates of Rare Cancers: Comparative Performance Analysis of Modeling Approaches Using European Cancer Registry Data |
Fecha de publicación: | 29-oct-2022 |
Editorial: | Oxford University Press Inc |
Cita bibliográfica: | American Journal of Epidemiology, Volume 191, Issue 3, March 2022, Pages 487–498 |
ISSN: | Electronic: 1476-6256 Print: 0002-9262 |
Resumen: | Estimating incidence of rare cancers is challenging for exceptionally rare entities and in small populations. In a previous study, investigators in the Information Network on Rare Cancers (RARECARENet) provided Bayesian estimates of expected numbers of rare cancers and 95% credible intervals for 27 European countries, using data collected by population-based cancer registries. In that study, slightly different results were found by implementing a Poisson model in integrated nested Laplace approximation/WinBUGS platforms. In this study, we assessed the performance of a Poisson modeling approach for estimating rare cancer incidence rates, oscillating around an overall European average and using small-count data in different scenarios/computational platforms. First, we compared the performance of frequentist, empirical Bayes, and Bayesian approaches for providing 95% confidence/credible intervals for the expected rates in each country. Second, we carried out an empirical study using 190 rare cancers to assess different lower/upper bounds of a uniform prior distribution for the standard deviation of the random effects. For obtaining a reliable measure of variability for country-specific incidence rates, our results suggest the suitability of using 1 as the lower bound for that prior distribution and selecting the random-effects model through an averaged indicator derived from 2 Bayesian model selection criteria: the deviance information criterion and the Watanabe-Akaike information criterion. |
Autor/es principal/es: | Salmerón, D Botta, L Martínez, JM Trama, A Gatta, G Borràs, J Capocaccia, R Clèries, R |
Facultad/Departamentos/Servicios: | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Ciencias Sociosanitarias |
Versión del editor: | https://academic.oup.com/aje/article/191/3/487/6413874 |
URI: | http://hdl.handle.net/10201/137234 |
DOI: | https://doi.org/10.1093/aje/kwab262 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 12 |
Derechos: | info:eu-repo/semantics/openAccess Atribución-NoComercial 4.0 Internacional |
Descripción: | © 2021. The authors. This document is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc /4.0/ This document is the submitted version of a published work that appeared in final form in American Journal of Epidemiology. |
Aparece en las colecciones: | Artículos: Ciencias Sociosanitarias |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Estimating Country.pdf | 386,41 kB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons