Cargando…
Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisation
OBJECTIVES: To compare two Bayesian models capable of identifying unusual and unstable temporal patterns in spatiotemporal data. SETTING: Annual counts of mammography screening users from each statistical local area (SLA) in Brisbane, Australia, recorded between 1997 and 2008 inclusive. PRIMARY OUTC...
Autores principales: | Duncan, Earl W, White, Nicole M, Mengersen, Kerrie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885312/ https://www.ncbi.nlm.nih.gov/pubmed/27230999 http://dx.doi.org/10.1136/bmjopen-2015-010253 |
Ejemplares similares
-
Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference
por: Duncan, Earl W., et al.
Publicado: (2017) -
Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothing
por: Duncan, Earl W., et al.
Publicado: (2020) -
Bayesian Spatial Survival Models for Hospitalisation of Dengue: A Case Study of Wahidin Hospital in Makassar, Indonesia
por: Aswi, Aswi, et al.
Publicado: (2020) -
Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data
por: Jahan, Farzana, et al.
Publicado: (2022) -
Spatiotemporal trends in neonatal, infant, and child mortality (1990–2019) based on Bayesian spatiotemporal modeling
por: Wang, Shaobin, et al.
Publicado: (2023)