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4. Statistical modeling of spatial data
The aim of statistical modeling is to find a mathematical expression for estimating the value of an attribute based on a set of other, so-called explanatory, attributes. In the case of geographical units, the value to be explained by the model tends to be an average, a sum, a headcount or a ratio, whereas in the case of an analysis of individuals, the value to be explained tends to be a probability or a Boolean value (e.g. sick/not sick).
4.1 Statistical modeling
The general aim of statistical modeling in epidemiology is to explain or model an individual disease risk Z from individual and contextual risk factors. The aim is to find a functional expression of the type Z = f (x 1 , x 2...
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Statistical modeling of spatial data
Spatio-temporal analysis and modeling
Bibliography
Standards and norms
- The European Code of Conduct for Research Integrity – Revised Edition 2023. Berlin. DOI 10.26356/ECOC - ALLEA - 2023
Regulations
France: Decree no. 2000-1282 of December 26, 2000 (JO of December 29) creating the Agence technique de l'information sur l'hospitalisation and modifying the public health code.
Legislative and regulatory basis for PMSI
Directory
Research and training centers (non-exhaustive list)
EHESP, METIS department https://www.ehesp.fr/
UMR UVE https://www.mediterranee-infection.com/recherche/uve/
UMR 6266 CNRS IDEES
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