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

Full text not available from this repository.

Abstract

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
Subjects:
ID Code:
9650
Deposited By:
Deposited On:
18 Jun 2008 10:30
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Apr 2020 02:27