Additional file 4 of Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case
Additional file 4: Table S1. Analyses of the potential predictors of spatial heterogeneity in hospitalisation incidence of nursing home (NH) residents. This table is equivalent to Table 1 and summarises the results of univariate linear regression (ULR), multivariate linear regression (MLR), and boosted regression trees (BRT) analyses performed to investigate the association between measures of hospitalisation incidence (HI) of NH residents and various spatial covariates associated with hospital catchment areas (HCAs). We report the following metrics: the coefficient of determination (R2) for t... Mehr ...
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Dokumenttyp: | Text |
Erscheinungsdatum: | 2021 |
Schlagwörter: | Medicine / Biotechnology / Cancer / Inorganic Chemistry / Plant Biology / Computational Biology / Environmental Sciences not elsewhere classified / Biological Sciences not elsewhere classified / Mathematical Sciences not elsewhere classified / Information Systems not elsewhere classified / COVID-19 / Hospitalisation incidence / Spatial covariates / Temporal covariates / Boosted regression trees / Belgium |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-26987581 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.6084/m9.figshare.14782545.v1 |