Work

Spatial clustering of average risks and risk trends in Bayesian disease mapping

Year: 2016

Type: article

Source: Biometrical Journal

DOI: 10.1002/bimj.201600018

Authors: Craig Anderson, Duncan Lee, Nema Dean

Institutions: University of Technology Sydney, The University of Melbourne, ARC Centre of Excellence for Mathematical and Statistical Frontiers, University of Glasgow

Language: English

Topic: Spatial and Panel Data Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Carnegie Trust for the Universities of Scotland, Medical Research Council, Australian Research Council

Award: A flexible class of Bayesian spatio-temporal models for cluster detection, trend estimation and forecasting of disease risk

OpenAlex ID: W2491167916

FWCI: 3.199

Cites: 30

Cited by: 17

Related to: 10