Results of simple linear geographically weighted regression models (GWR) between relative risks of mortality from circulatory system diseases in the municipality of São Paulo and GeoSES-IM index and its dimensions–values of adjusted global R<sup>2</sup>, Akaike Information Criterion (AIC), Moran’s <i>I</i> coefficient and <i>p</i>-value for spatial dependency on residues.

Results of simple linear geographically weighted regression models (GWR) between relative risks of mortality from circulatory system diseases in the municipality of São Paulo and GeoSES-IM index and its dimensions–values of adjusted global R2, Akaike Information Criterion (AIC), Moran’s I coefficient and p-value for spatial dependency on residues.

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PID https://www.doi.org/10.1371/journal.pone.0232074.t003
URL http://dx.doi.org/10.1371/journal.pone.0232074.t003
URL https://figshare.com/articles/Results_of_simple_linear_geographically_weighted_regression_models_GWR_between_relative_risks_of_mortality_from_circulatory_system_diseases_in_the_municipality_of_S_o_Paulo_and_GeoSES-IM_index_and_its_dimensions_values_of_adjusted_global_R_/12216410
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Author Barrozo, Ligia Vizeu
Author Fornaciali, Michel
Author de André, Carmen Diva Saldiva
Author Morais, Guilherme Augusto Zimeo
Author Mansur, Giselle
Author Cabral-Miranda, William
Author de Miranda, Marina Jorge
Author Sato, João Ricardo
Author Júnior, Edson Amaro
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Collected From figshare
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Publication Date 2020-01-01
Publisher Figshare
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::70d64f62c8073d87bfd37886dd10dc80
Author jsonws_user
Last Updated 6 January 2021, 12:57 (CET)
Created 6 January 2021, 12:57 (CET)