Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns

Date

2019

Director

Publisher

SAGE
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

MINECO//MTM2014-51992-R/ES/ recolecta
Gobierno de Navarra//Project 113
Impacto
No disponible en Scopus

Abstract

In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both xed relative scale and scale invariant two-dimensional penalties are examined. Model tting and inference are carried out using integrated nested Laplace approximations (INLA), a recent Bayesian technique that speeds up computations compared to McMC methods. The models will be illustrated with Spanish breast cancer mortality data during the period 1985-2010, where a general decline in breast cancer mortality has been observed in Spanish provinces in the last decades. The results reveal that mortality rates for the oldest age groups do not decrease in all provinces.

Description

Keywords

Breast cancer mortality, Disease mapping, INLA, Smoothing, Time-space-age models

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika / Institute for Advanced Materials and Mathematics - INAMAT2

Faculty/School

Degree

Doctorate program

item.page.cita

Goicoa, T., Adin, A., Etxeberria, J., Militino, A., & Ugarte, M. (2019). Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns. Statistical Methods in Medical Research, 28(2), 384-403. https://doi.org/10.1177/0962280217726802

item.page.rights

© The Author(s) 2017.

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