2 datasets found
  1. Most-to-Least Influential County-Level Economic Variables Contributing to...

    • plos.figshare.com
    xls
    Updated Jun 4, 2025
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    Michele L.F. Bolduc; Parya Saberi; Torsten B. Neilands; Carla I. Mercado; Shanice Battle Johnson; Zoe R. F. Freggens; Desmond Banks; Rashid Njai; Kai McKeever Bullard (2025). Most-to-Least Influential County-Level Economic Variables Contributing to County Prevalence of Poor Mental Health Based on Dominance Analysis Ranked by Standardized Dominance Weights, Overall and by Urban/Rural Classification, United States, 2019. [Dataset]. http://doi.org/10.1371/journal.pone.0300939.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michele L.F. Bolduc; Parya Saberi; Torsten B. Neilands; Carla I. Mercado; Shanice Battle Johnson; Zoe R. F. Freggens; Desmond Banks; Rashid Njai; Kai McKeever Bullard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Most-to-Least Influential County-Level Economic Variables Contributing to County Prevalence of Poor Mental Health Based on Dominance Analysis Ranked by Standardized Dominance Weights, Overall and by Urban/Rural Classification, United States, 2019.

  2. Beta Coefficients, 95% Confidence Interval, and Statistical Significance for...

    • plos.figshare.com
    xls
    Updated Jun 4, 2025
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    Michele L.F. Bolduc; Parya Saberi; Torsten B. Neilands; Carla I. Mercado; Shanice Battle Johnson; Zoe R. F. Freggens; Desmond Banks; Rashid Njai; Kai McKeever Bullard (2025). Beta Coefficients, 95% Confidence Interval, and Statistical Significance for County-Level Economic Variables Using Linear Regression with Prevalence of Poor Mental Health as the Dependent Variable, Overall and by Urban/Rural Classification, United States, 2019. Blue-filled cells indicate a positive association between the variable and the dependent variable; red-filled cells indicate a negative association; greyed out cells indicate the variable was not significant; blank cells indicate a variable that was not included in the model. [Dataset]. http://doi.org/10.1371/journal.pone.0300939.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michele L.F. Bolduc; Parya Saberi; Torsten B. Neilands; Carla I. Mercado; Shanice Battle Johnson; Zoe R. F. Freggens; Desmond Banks; Rashid Njai; Kai McKeever Bullard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Beta Coefficients, 95% Confidence Interval, and Statistical Significance for County-Level Economic Variables Using Linear Regression with Prevalence of Poor Mental Health as the Dependent Variable, Overall and by Urban/Rural Classification, United States, 2019. Blue-filled cells indicate a positive association between the variable and the dependent variable; red-filled cells indicate a negative association; greyed out cells indicate the variable was not significant; blank cells indicate a variable that was not included in the model.

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Michele L.F. Bolduc; Parya Saberi; Torsten B. Neilands; Carla I. Mercado; Shanice Battle Johnson; Zoe R. F. Freggens; Desmond Banks; Rashid Njai; Kai McKeever Bullard (2025). Most-to-Least Influential County-Level Economic Variables Contributing to County Prevalence of Poor Mental Health Based on Dominance Analysis Ranked by Standardized Dominance Weights, Overall and by Urban/Rural Classification, United States, 2019. [Dataset]. http://doi.org/10.1371/journal.pone.0300939.t002
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Most-to-Least Influential County-Level Economic Variables Contributing to County Prevalence of Poor Mental Health Based on Dominance Analysis Ranked by Standardized Dominance Weights, Overall and by Urban/Rural Classification, United States, 2019.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 4, 2025
Dataset provided by
PLOShttp://plos.org/
Authors
Michele L.F. Bolduc; Parya Saberi; Torsten B. Neilands; Carla I. Mercado; Shanice Battle Johnson; Zoe R. F. Freggens; Desmond Banks; Rashid Njai; Kai McKeever Bullard
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
United States
Description

Most-to-Least Influential County-Level Economic Variables Contributing to County Prevalence of Poor Mental Health Based on Dominance Analysis Ranked by Standardized Dominance Weights, Overall and by Urban/Rural Classification, United States, 2019.

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