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
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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
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Research and training centers (non-exhaustive list)
EHESP, METIS department https://www.ehesp.fr/
UMR UVE https://www.mediterranee-infection.com/recherche/uve/
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