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Modelling latent trends from spatio-temporally grouped data using composite link mixed models
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions. The aggregation process is done for several reasons: to protect confidential patients' information, to compare with other datasets at a ...
Penalized composite link models for aggregated spatial count data: a mixed model approach
Mortality data provide valuable information for the study of the spatial distri- bution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated ...