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Predicting who applies to Public Housing using Linked Administrative Data
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362370/ http://dx.doi.org/10.23889/ijpds.v1i1.105 |
_version_ | 1783738148125147136 |
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author | Hinds, Aynslie Bechtel, Brian Distasio, Jino Roos, Leslie L Lix, Lisa |
author_facet | Hinds, Aynslie Bechtel, Brian Distasio, Jino Roos, Leslie L Lix, Lisa |
author_sort | Hinds, Aynslie |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8362370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-83623702021-09-09 Predicting who applies to Public Housing using Linked Administrative Data Hinds, Aynslie Bechtel, Brian Distasio, Jino Roos, Leslie L Lix, Lisa Int J Popul Data Sci Article Swansea University 2017-04-19 /pmc/articles/PMC8362370/ http://dx.doi.org/10.23889/ijpds.v1i1.105 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Article Hinds, Aynslie Bechtel, Brian Distasio, Jino Roos, Leslie L Lix, Lisa Predicting who applies to Public Housing using Linked Administrative Data |
title | Predicting who applies to Public Housing using Linked Administrative Data |
title_full | Predicting who applies to Public Housing using Linked Administrative Data |
title_fullStr | Predicting who applies to Public Housing using Linked Administrative Data |
title_full_unstemmed | Predicting who applies to Public Housing using Linked Administrative Data |
title_short | Predicting who applies to Public Housing using Linked Administrative Data |
title_sort | predicting who applies to public housing using linked administrative data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362370/ http://dx.doi.org/10.23889/ijpds.v1i1.105 |
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