Analysis of spatial data with a nested correlation structure
Journal article
Adegboye, Oyelola, Leung, Denis and Wang, You-Gan. (2018). Analysis of spatial data with a nested correlation structure. Journal of the Royal Statistical Society Series C: Applied Statistics. 67(2), pp. 329-354. https://doi.org/10.1111/rssc.12230
Authors | Adegboye, Oyelola, Leung, Denis and Wang, You-Gan |
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Abstract | Spatial statistical analyses are often used to study the link between environmental factors and the incidence of diseases. In modelling spatial data, the existence of spatial correlation between observations must be considered. However, in many situations, the exact form of the spatial correlation is unknown. This paper studies environmental factors that might influence the incidence of malaria in Afghanistan. We assume that spatial correlation may be induced by multiple latent sources. Our method is based on a generalized estimating equation of the marginal mean of disease incidence, as a function of the geographical factors and the spatial correlation. Instead of using one set of generalized estimating equations, we embed a series of generalized estimating equations, each reflecting a particular source of spatial correlation, into a larger system of estimating equations. To estimate the spatial correlation parameters, we set up a supplementary set of estimating equations based on the correlation structures that are induced from the various sources. Simultaneous estimation of the mean and correlation parameters is performed by alternating between the two systems of equations. |
Keywords | Generalized estimating equations; Generalized method of moments; Malaria; Poisson model; Spatial correlation |
Year | 01 Jan 2018 |
Journal | Journal of the Royal Statistical Society Series C: Applied Statistics |
Journal citation | 67 (2), pp. 329-354 |
Publisher | Blackwell Publishing Ltd |
ISSN | 0035-9254 |
Digital Object Identifier (DOI) | https://doi.org/10.1111/rssc.12230 |
Web address (URL) | https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12230 |
Open access | Published as non-open access |
Research or scholarly | Research |
Page range | 329-354 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
20 Jul 2017 | |
Publication process dates | |
Deposited | 06 Jan 2023 |
Additional information | © 2017 Royal Statistical Society |
Place of publication | United Kingdom |
https://acuresearchbank.acu.edu.au/item/8y91z/analysis-of-spatial-data-with-a-nested-correlation-structure
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