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        <identifier>oai:figshare.com:article/30576815</identifier>
        <datestamp>2026-09-11T21:19:46Z</datestamp>
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          <dc:title>Predictor Selection Data from the AHRQ SDOH 2022 Dataset Used to Estimate County-Level Social Isolation</dc:title>
          <dc:creator>Ali Abidi (22585475)</dc:creator>
          <dc:creator>Clayton Greenberg (22588243)</dc:creator>
          <dc:subject>Health equity</dc:subject>
          <dc:subject>Social determinants of health</dc:subject>
          <dc:subject>Social epidemiology</dc:subject>
          <dc:subject>isolation estimates</dc:subject>
          <dc:subject>social determinants of health.</dc:subject>
          <dc:subject>predictor selection</dc:subject>
          <dc:subject>social isolation</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This repository contains supporting predictor-selection data for the study “County-level social isolation in the United States: Estimating missing prevalence and identifying structural correlates of geographic variation.” The analysis used county-level variables from the 2022 Agency for Healthcare Research and Quality (AHRQ) Social Determinants of Health (SDOH) Database.&lt;/p&gt;&lt;p dir="ltr"&gt;The first file contains the 331 candidate SDOH predictors considered in the regression modeling process after exclusion of identifier columns and variables without complete county-level data. The second file documents predictors excluded during the subsequent predictor-selection process and the corresponding reasons for exclusion.&lt;/p&gt;&lt;p dir="ltr"&gt;These files are provided to improve transparency and reproducibility of the predictor-selection workflow used to develop the primary county-level social isolation regression model.&lt;/p&gt;</dc:description>
          <dc:date>2025-11-10T00:13:07Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.30576815.v5</dc:identifier>
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