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<publisher>HAL CCSD</publisher>
<title lang=en>SesIndexCreatoR: An R Package for Socioeconomic Indices Computation and Visualization</title>
<creator>Lalloué, Benoît</creator>
<creator>Deguen, Séverine</creator>
<creator>Monnez, Jean-Marie</creator>
<creator>Padilla, Cindy</creator>
<creator>Kihal, Wahida</creator>
<creator>Zmirou-Navier, Denis</creator>
<creator>Le Meur, Nolwenn</creator>
<contributor>Biology, genetics and statistics (BIGS) ; Inria Nancy - Grand Est ; Institut National de Recherche en Informatique et en Automatique (Inria) - Institut National de Recherche en Informatique et en Automatique (Inria) - Institut Élie Cartan de Lorraine (IECL) ; Université de Lorraine (UL) - Centre National de la Recherche Scientifique (CNRS) - Université de Lorraine (UL) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>EA Management des Organisations de Santé (EA MOS) ; École des Hautes Études en Santé Publique [EHESP] (EHESP) - PRES Sorbonne Paris Cité</contributor>
<contributor>Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )</contributor>
<contributor>École des Hautes Études en Santé Publique [EHESP] (EHESP)</contributor>
<contributor>Probabilités et statistiques ; Institut Élie Cartan de Lorraine (IECL) ; Université de Lorraine (UL) - Centre National de la Recherche Scientifique (CNRS) - Université de Lorraine (UL) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Université de Lorraine (UL)</contributor>
<description>International audience</description>
<source>ISSN: 2161-718X</source>
<source>Open Journal of Statistics</source>
<publisher>Scientific Research Publishing</publisher>
<identifier>hal-01161775</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01161775</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01161775/document</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01161775/file/OJS_2015060814030742.pdf</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01161775</source>
<source>Open Journal of Statistics, Scientific Research Publishing, 2015, 5 (4), pp.291-302. 〈http://www.scirp.org/Journal/PaperInformation.aspx?PaperID=56961#.VXaZypPj-_4〉. 〈10.4236/ojs.2015.54031〉</source>
<identifier>DOI : 10.4236/ojs.2015.54031</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.4236/ojs.2015.54031</relation>
<source>http://www.scirp.org/Journal/PaperInformation.aspx?PaperID=56961#.VXaZypPj-_4</source>
<language>en</language>
<subject lang=en>Socioeconomic Status</subject>
<subject lang=en>Multidimensional Index</subject>
<subject lang=en>Principal Component Analysis</subject>
<subject lang=en>Hierarchical Classification</subject>
<subject lang=en>R</subject>
<subject>[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]</subject>
<subject>[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>In order to study social inequalities, indices can be used to summarize the multiple dimensions of the socioeconomic status. As a part of the Equit'Area Project, a public health program focused on social and environmental health inequalities; a statistical procedure to create (neighborhood) socioeconomic indices was developed. This procedure uses successive principal components analyses to select variables and create the index. In order to simplify the application of the procedure for non-specialists, the R package SesIndexCreatoR was created. It allows the creation of the index with all the possible options of the procedure, the classification of the resulting index in categories using several classical methods, the visualization of the results, and the generation of automatic reports.</description>
<contributor>Equit'Area</contributor>
<date>2015-06</date>
</dc>
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