271 citations · 319 across the 17 of their papers we have counts for
4 papers · 1 filter
A Geostatistical Framework for Combining Spatially Referenced Disease Prevalence Data from Multiple Diagnostics
Benjamin Amoah, Emanuele Giorgi, Peter Diggle
Multiple diagnostic tests are often used due to limited resources or because they provide complementary information on the epidemiology of a disease under investigation. Existing s…
Linear Mixed-Effects Models for Non-Gaussian Repeated Measurement Data
Özgür Asar, David Bolin, Peter J. Diggle +1
We consider the analysis of continuous repeated measurement outcomes that are collected through time, also known as longitudinal data. A standard framework for analysing data of th…
Geostatistical methods for disease mapping and visualization using data from spatio-temporally referenced prevalence surveys
Emanuele Giorgi, Peter J. Diggle, Robert W. Snow +1
In this paper we set out general principles and develop geostatistical methods for the analysis of data from spatio-temporally referenced prevalence surveys. Our objective is to pr…
Julian Ernst Besag, 26 March 1945 -- 6 August 2010, a biographical memoir
Peter J. Diggle, Peter J. Green, Bernard W. Silverman
Julian Besag was an outstanding statistical scientist, distinguished for his pioneering work on the statistical theory and analysis of spatial processes, especially conditional lat…