Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Bivariate binomial spatial modelling of Loa loa prevalence in tropical Africa
AU - Crainiceanu, C.
AU - Diggle, Peter J.
AU - Rowlingson, B. S.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Geostatistics
KW - Low rank
KW - Thin-plate splines
UR - http://www.scopus.com/inward/record.url?scp=42349084895&partnerID=8YFLogxK
U2 - 10.1198/016214507000001409
DO - 10.1198/016214507000001409
M3 - Journal article
VL - 103
SP - 21
EP - 37
JO - Journal of the American Statistical Association
JF - Journal of the American Statistical Association
SN - 1537-274X
IS - 481
ER -