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02/14/2020
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference
Diagnosis is often based on the exceedance or not of continuous health i...
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02/22/2019
Spatial Analysis Made Easy with Linear Regression and Kernels
Kernel methods are an incredibly popular technique for extending linear ...
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01/28/2019
A Spatially Discrete Approximation to Log-Gaussian Cox Processes for Modelling Aggregated Disease Count Data
In this paper, we develop a computationally efficient discrete approxima...
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09/11/2018
Spatial Item Factor Analysis With Application to Mapping Food Insecurity
Item factor analysis is widely used for studying the relationship betwee...
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08/09/2018
A Geostatistical Framework for Combining Spatially Referenced Disease Prevalence Data from Multiple Diagnostics
Multiple diagnostic tests are often used due to limited resources or bec...
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02/18/2018
Geostatistical methods for disease mapping and visualization using data from spatio-temporally referenced prevalence surveys
In this paper we set out general principles and develop geostatistical m...
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01/12/2018
On the goodness-of-fit of generalized linear geostatistical models
We propose a generalization of Zhang's coefficient of determination to g...
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11/01/2017