Bivariate binomial spatial modelling of Loa loa prevalence in tropical Africa

Crainiceanu, C. and Diggle, Peter J. and Rowlingson, B. S. (2008) Bivariate binomial spatial modelling of Loa loa prevalence in tropical Africa. Journal of the American Statistical Association, 103 (481). pp. 21-37. ISSN 1537-274X

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We present a state-of-the-art application of smoothing for dependent bivariate binomial spatial data to Loa loa prevalence mapping in West Africa. This application starts with the nonspatial calibration of survey instruments, continues with the spatial model building and assessment, and ends with robust, tested software intended for use by field workers for online prevalence map updating. From a statistical perspective, we address several important methodological issues: building spatial models that are sufficiently complex to capture the structure of the data but remain computationally usable, reducing the computational burden in the handling of very large covariate data sets, and devising methods for comparing spatial prediction methods for a given exceedance policy threshold.

Item Type: Journal Article
Journal or Publication Title: Journal of the American Statistical Association
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/r1
Departments: Faculty of Health and Medicine > Medicine
VC's Office
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 9650
Deposited By: Prof Peter J. Diggle
Deposited On: 18 Jun 2008 10:30
Refereed?: Yes
Published?: Published
Last Modified: 17 Aug 2019 04:38

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