Browsing Applied Statistics by Author "Ayma, D."
Now showing items 1-3 of 3
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Modelling latent trends from spatio-temporally grouped data using composite link mixed models
Ayma, D.; Durban, M.; Lee, D.-J.
; Van de Kasstele, J. (2016-07)
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 mixed models for two-dimensional count data
Ayma, D.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2015-05)
Mortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology, medical demography, and public health. However, they are often available ... -
Penalized composite link models for aggregated spatial count data: a mixed model approach
Ayma, D.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2016-01-01)
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 ...