Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

S Kang, S Cramb, N White, S Ball… - Geospatial …, 2016 - eprints.qut.edu.au
Disease maps are effective tools for explaining and predicting patterns of disease outcomes
across geographical space, identifying areas of potentially elevated risk, and formulating …

Bayesian design methods for improving the effectiveness of ecosystem monitoring

AWLP Thilan, E Peterson, P Menéndez, J Caley… - … and Ecological Statistics, 2024 - Springer
Adaptive design methods can be used to make changes to survey designs in ecosystem
monitoring to ensure that informative data are collected in an ongoing, cost-effective, and …

Impact of geographic area level on measuring socioeconomic disparities in cancer survival in New South Wales, Australia: a period analysis

JF Stanbury, PD Baade, Y Yu, XQ Yu - Cancer Epidemiology, 2016 - Elsevier
Background Area-based socioeconomic measures are widely used in health research. In
theory, the larger the area used the more individual misclassification is introduced, thus …

A Case Study for Modelling Cancer Incidence Using Bayesian Spatio‐Temporal Models

SY Kang, J McGree, P Baade… - Australian & New …, 2015 - Wiley Online Library
Researchers familiar with spatial models are aware of the challenge of choosing the level of
spatial aggregation. Few studies have been published on the investigation of temporal …

Spatial Modelling Methods

S Cramb, E Duncan, N White, P Baade, K Mengersen - 2016 - eprints.qut.edu.au
Spatial information and spatial technologies can bring significant value to health agencies
through improved decision support, resource management and allocation, and clinical …

The choice of spatial scales and spatial smoothness priors for various spatial patterns

SY Kang, J McGree, K Mengersen - Spatial and Spatio-temporal …, 2014 - Elsevier
Given the drawbacks for using geo-political areas in mapping outcomes unrelated to geo-
politics, a compromise is to aggregate and analyse data at the grid level. This has the …

ЗАВИСИМОСТЬ ПРОСТРАНСТВЕННЫХ ЭФФЕКТОВ ОТ УРОВНЯ АГРЕГИРОВАНИЯ (НА ПРИМЕРЕ РОССИЙСКИХ РЕГИОНОВ)

ТВ Букина, ОА Демидова, НВ Сверчкова - Математические методы и …, 2016 - elibrary.ru
В статье представлены результаты оценки пространственноэконометрических
моделей по данным для 75 российских регионов за 2004-2012 гг. с различным уровнем …

[PDF][PDF] Investigating socioeconomic disparities in cancer survival using geographic area-based measures

JFC Stanbury - 2015 - core.ac.uk
Many studies in developed countries around the world have reported variations in cancer
survival associated with socioeconomic status. Understanding the causes of survival …

The impact of varying time scales on the quality of cancer projections based on the Bayesian age-period-cohort model

JK Attuquaye - 2015 - ntnuopen.ntnu.no
Projection of age-specific cancer incidence and mortality data play an integral role in
planning and research. A wide range of methods used for these projections has been …

Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data.

KSY Kang SuYun, SM Cramb, NM White, SJ Ball… - 2016 - cabidigitallibrary.org
Disease maps are effective tools for explaining and predicting patterns of disease outcomes
across geographical space, identifying areas of potentially elevated risk, and formulating …