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 1537-274XFull text not available from this repository.
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.
|Journal or Publication Title:||Journal of the American Statistical Association|
|Uncontrolled Keywords:||Geostatistics ; Low rank ; Thin-plate splines|
|Subjects:||R Medicine > R Medicine (General)|
|Departments:||Faculty of Health and Medicine > Medicine|
Faculty of Science and Technology > Mathematics and Statistics
|Deposited By:||Prof Peter J. Diggle|
|Deposited On:||18 Jun 2008 11:30|
|Last Modified:||25 Apr 2017 03:53|
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