Characteristics of the ZIP Codes (N = 968), Counties (N = 51), and...
- plos.figshare.com
xlsUpdated Jun 15, 2023
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Characteristics of the ZIP Codes (N = 968), Counties (N = 51), and Metropolitan Statistical Areas (MSAs; N = 19) where the 9,077 participants of the 2009 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance Lived, by Racial/Ethnic Group1. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t004xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0150410.t004Dataset updatedJun 15, 2023AuthorsHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-BaileyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionCharacteristics of the ZIP Codes (N = 968), Counties (N = 51), and Metropolitan Statistical Areas (MSAs; N = 19) where the 9,077 participants of the 2009 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance Lived, by Racial/Ethnic Group1.
Bivariate associations between HIV negative status and participant...
- plos.figshare.com
- datasetcatalog.nlm.nih.gov
xlsUpdated Jun 3, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Bivariate associations between HIV negative status and participant characteristics1. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t006xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0150410.t006Dataset updatedJun 3, 2023AuthorsHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-BaileyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionBivariate associations between HIV negative status and participant characteristics1.
Multivariable hierarchical generalized linear models regressing the odds of...
- figshare.com
- datasetcatalog.nlm.nih.gov
- +1more
xlsUpdated Jun 4, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Multivariable hierarchical generalized linear models regressing the odds of HIV negative status on characteristics of the environments where people who inject drugs (N = 9,077) lived when participating in the National HIV Behavioral Surveillance in 20091. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t007xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0150410.t007Dataset updatedJun 4, 2023AuthorsHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-BaileyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionMultivariable hierarchical generalized linear models regressing the odds of HIV negative status on characteristics of the environments where people who inject drugs (N = 9,077) lived when participating in the National HIV Behavioral Surveillance in 20091.
- f
Components Generated by the Principal Components Analysis.
- figshare.com
- datasetcatalog.nlm.nih.gov
xlsUpdated Sep 29, 2016+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2016). Components Generated by the Principal Components Analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0150410.t002Dataset updatedSep 29, 2016Dataset provided byPLOS ONEAuthorsHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-BaileyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionComponents Generated by the Principal Components Analysis.
Bivariate associations between HIV negative status and (a) features of the...
- plos.figshare.com
- datasetcatalog.nlm.nih.gov
xlsUpdated Jun 4, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Bivariate associations between HIV negative status and (a) features of the environments where people who inject drugs (N = 9,077) lived when participating in the 2009 National HIV Behavioral Surveillance, and (b) participant characteristics1. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t005xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0150410.t005Dataset updatedJun 4, 2023AuthorsHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-BaileyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionBivariate associations between HIV negative status and (a) features of the environments where people who inject drugs (N = 9,077) lived when participating in the 2009 National HIV Behavioral Surveillance, and (b) participant characteristics1.
Characteristics of the sample of people who inject drugs (PWID), drawn from...
- plos.figshare.com
- datasetcatalog.nlm.nih.gov
xlsUpdated Jun 1, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-Bailey (2023). Characteristics of the sample of people who inject drugs (PWID), drawn from the 2009 Centers for Disease Control and Prevention’s National HIV Behavior Surveillance. [Dataset]. http://doi.org/10.1371/journal.pone.0150410.t003xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0150410.t003Dataset updatedJun 1, 2023AuthorsHannah L. F. Cooper; Sabriya Linton; Mary E. Kelley; Zev Ross; Mary E. Wolfe; Yen-Tyng Chen; Maria Zlotorzynska; Josalin Hunter-Jones; Samuel R. Friedman; Don C. Des Jarlais; Barbara Tempalski; Elizabeth DiNenno; Dita Broz; Cyprian Wejnert; Gabriela Paz-BaileyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionCharacteristics of the sample of people who inject drugs (PWID), drawn from the 2009 Centers for Disease Control and Prevention’s National HIV Behavior Surveillance.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailCharacteristics of the ZIP Codes (N = 968), Counties (N = 51), and Metropolitan Statistical Areas (MSAs; N = 19) where the 9,077 participants of the 2009 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance Lived, by Racial/Ethnic Group1.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Characteristics of the ZIP Codes (N = 968), Counties (N = 51), and Metropolitan Statistical Areas (MSAs; N = 19) where the 9,077 participants of the 2009 Centers for Disease Control and Prevention’s National HIV Behavioral Surveillance Lived, by Racial/Ethnic Group1.