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  1. www.uspreventiveservicestaskforce.org/home/getfilebytoken/h5Tt4jScmQJeHeztmo93hu
    February 25, 2020 - In pooled analyses, the differences in changes between patients taking AChEIs or memantine compared
  2. effectivehealthcare.ahrq.gov/sites/default/files/pdf/diabetes-medicare-use_research.pdf
    January 01, 2014 - We stratify all analyses by diabetes type—type 1, type 2 not using insulin, and type 2 using insulin
  3. hcup-us.ahrq.gov/reports/methods/2003_05.pdf
    January 01, 2003 - Appendix B shows for each Prevention Quality Indicator included in the NHQR, the analyses performed
  4. hcup-us.ahrq.gov/reports/statbriefs/sb302-Deliveries-Mental-Health-Disorders-Race-2020.pdf
    January 01, 2020 - Therefore, for multistate analyses, HCUP creates the combined categorization of race and ethnicity for
  5. hcup-us.ahrq.gov/reports/statbriefs/sb315-overview-MRSA-2016-2021.pdf
    January 01, 2021 - Therefore, for multistate analyses, HCUP creates the combined categorization of race and ethnicity for
  6. hcup-us.ahrq.gov/reports/statbriefs/sb309-sepsis-race-2016-2021.pdf
    January 01, 2021 - Therefore, for multistate analyses, HCUP creates the combined categorization of race and ethnicity for
  7. hcup-us.ahrq.gov/reports/statbriefs/sb278-Conditions-Frequent-Readmissions-By-Payer-2018.pdf
    January 01, 2018 - The NRD is designed to support various types of analyses of national readmission rates.
  8. hcup-us.ahrq.gov/reports/statbriefs/sb268-ED-Costs-2017.pdf
    January 01, 2017 - The NEDS was created to enable analyses of ED utilization patterns and support public health professionals
  9. hcup-us.ahrq.gov/reports/statbriefs/sb257-ED-Costs-Mental-Substance-Use-Disorders-2017.pdf
    January 01, 2017 - The NEDS was created to enable analyses of ED utilization patterns and support public health professionals
  10. effectivehealthcare.ahrq.gov/sites/default/files/related_files/ankyloglossia_executive.pdf
    May 01, 2015 - searched reference lists of included studies and of recent narrative and systematic reviews and meta-analyses
  11. hcup-us.ahrq.gov/reports/statbriefs/sb182-Medicaid-Uninsured-Hospitalizations-2012.jsp
    October 01, 2014 - Cost-to-Charge Ratio (CCR) Files Hospital Market Structure (HMS) Files Supplemental Variables for Revisit Analyses
  12. hcup-us.ahrq.gov/reports/statbriefs/sb206-HIV-Hospital-Stays-Trends.jsp
    June 01, 2016 - Cost-to-Charge Ratio (CCR) Files Hospital Market Structure (HMS) Files Supplemental Variables for Revisit Analyses
  13. hcup-us.ahrq.gov/reports/statbriefs/sb205-Hospital-Discharge-Postacute-Care.pdf
    November 01, 2015 - Therefore, for multistate analyses, HCUP creates the combined categorization of race and ethnicity for
  14. digital.ahrq.gov/sites/default/files/docs/citation/r21hs020997-ozer-final-report-2014.pdf
    January 01, 2014 - Analyses indicate an increase in provider screening rates of adolescent patients post- module implementation
  15. S123 (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/s123.pdf
    October 01, 2007 - In sepa- rate analyses, we varied the number of patient groups (2, 4, 8, and 12 groups) constructed for
  16. S108 (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/s108.pdf
    October 01, 2007 - identifiabilty.45 Most frailty models do not retain the proportional hazards assumption.44 RESULTS Descriptive Analyses
  17. www.ahrq.gov/sites/default/files/wysiwyg/cahps/cahps-database/2025-child-hcahps-chartbook.pdf
    January 01, 2025 - Appendix B presents hospital-level inferential statistical analyses.
  18. digital.ahrq.gov/sites/default/files/docs/integrating-pros-into-practice-slides-02272024.pdf
    February 27, 2024 - still noted o 7 of 12 pharmacies dropped out early, after 1 to 4 months of implementation • Data analyses
  19. integrationacademy.ahrq.gov/products/topic-briefs/telehealth
    February 01, 2025 - Mobile apps for mental health issues: meta-review of meta-analyses.
  20. hcup-us.ahrq.gov/reports/statbriefs/sb202-Mental-Substance-Use-Teenagers.pdf
    November 01, 2015 - The KID's large sample size enables analyses of rare conditions (such as congenital anomalies) and uncommon