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  1. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cer-270-bimp-disposition-comments.pdf
    September 18, 2024 - One commenter was concerned about our components approach to analyze data for Key Question 1. … The hardest problem in our review was to determine how to analyze studies that used many of the same … One approach, taken by the related Sharpe Cochrane review, would have been to analyze all behavioral … The other extreme would be to analyze each treatment combination on its own (e.g., first a section on
  2. effectivehealthcare.ahrq.gov/sites/default/files/related_files/medical-test-reviews-meta-analysis.ppt
    June 01, 2012 - Deciding Which Metrics To Meta-analyze (1 of 6) Trikalinos TA, Coleman CI, Griffith L, et al. … Why does it make sense to directly meta-analyze sensitivity and specificity? … Deciding Which Metrics To Meta-analyze (3 of 6) Trikalinos TA, Coleman CI, Griffith L, et al. … Rarely is it meaningful to meta-analyze each value across studies. … Deciding Which Metrics To Meta-analyze (4 of 6) It is less helpful to meta-analyze predictive values
  3. effectivehealthcare.ahrq.gov/sites/default/files/medical-test-reviews-meta-analysis.ppt
    June 01, 2012 - Deciding Which Metrics To Meta-analyze (1 of 6) Trikalinos TA, Coleman CI, Griffith L, et al. … Why does it make sense to directly meta-analyze sensitivity and specificity? … Deciding Which Metrics To Meta-analyze (3 of 6) Trikalinos TA, Coleman CI, Griffith L, et al. … Rarely is it meaningful to meta-analyze each value across studies. … Deciding Which Metrics To Meta-analyze (4 of 6) It is less helpful to meta-analyze predictive values
  4. effectivehealthcare.ahrq.gov/sites/default/files/related_files/models-care-adult-survivors-childhood-cancer-evidence-summary.pdf
    February 01, 2022 - researchers) and conducted targeted and iterative searching to (1) identify models of survivorship care and analyze … identify available tools, training, and other resources for childhood cancer survivorship care and analyze
  5. effectivehealthcare.ahrq.gov/sites/default/files/related_files/search-strategy-white-paper.pdf
    February 01, 2025 - Below are the narrative sections of the review form: • What to analyze: Entire record | Title Field … | Abstract Field | Subject Field • Methods to analyze: Boolean/Truncation support? … These steps lend themselves to tools that analyze structured bibliographic records using word frequency … evaluation (Table 5) and deduplication (Table 8) steps also include a number of useful tools that analyze … COMMENTS: While this tool does analyze the results of a search and provide counts of words and phrases
  6. Ced -Appendix-2 (xls file)

    effectivehealthcare.ahrq.gov/sites/default/files/related_files/ced%20-appendix-2.xlsx
    May 29, 2025 - CED proposal should include the end date for coverage by CED with time to analyze evidence gathered and … most recently made to the CED program in 2014, allowing for almost a decade of real-world examples to analyze … most recently made to the CED program in 2014, allowing for almost a decade of real-world examples to analyze … duration set for accrual of data CED proposal should include the end date for coverage by CED with time to analyze
  7. Cover Page (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/pdf/medicine-safety-call-center_research.pdf
    September 01, 2007 - They determine that information technology tools that analyze administrative data recorded using ICD9 … Fisher et al., (1987) conducted a study to analyze the effectiveness of post-marketing surveillance … surveillance admin Initiate surveillance Collect baseline and follow-up data Contact FDA- ODS Analyze … We analyze each of these factors and identify the critical elements of the community pharmacy based … We then analyze the critical success factors for the DERMS-based post marketing surveillance mechanism
  8. Cover Page (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/it-architecture-for-post-marketing-surveillance-arizona-cert.pdf
    September 01, 2007 - They determine that information technology tools that analyze administrative data recorded using ICD9 … Fisher et al., (1987) conducted a study to analyze the effectiveness of post-marketing surveillance … surveillance admin Initiate surveillance Collect baseline and follow-up data Contact FDA- ODS Analyze … We analyze each of these factors and identify the critical elements of the community pharmacy based … We then analyze the critical success factors for the DERMS-based post marketing surveillance mechanism
  9. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cer-241-wheelchair-users-disposition-comments.pdf
    October 18, 2022 - Most studies that met inclusion criteria did not report HR or RPE making it difficult to analyze results … Most studies that met inclusion criteria did not report HR or RPE making it difficult to analyze results
  10. Slide 1 (pdf file)

    effectivehealthcare.ahrq.gov/sites/default/files/ahrq_community_forum_webinar_bonoff.pdf
    January 01, 2000 - methodology course to prepare advocates to serve on breast cancer decision-making bodies and to critically analyze
  11. effectivehealthcare.ahrq.gov/sites/default/files/bonoff-text.pdf
    January 01, 2000 - methodology course to prepare advocates to serve on breast cancer decision-making bodies and to critically analyze
  12. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-app-f1-f4-tables-surveillance-report-2_0_0.xlsx
    May 29, 2025 - F-1. Can. Study Characteristics Table F-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
  13. effectivehealthcare.ahrq.gov/sites/default/files/related_files/Appendix-E-Evidence-Tables-E1-E4_0.xlsx
    May 29, 2025 - E-1. Can. Study Characteristics Table E-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
  14. effectivehealthcare.ahrq.gov/sites/default/files/related_files/app-e-surv-report-2-nonopioid-pharmacol-chronic-pain.xlsx
    May 29, 2025 - NPP Table E-1. Neuropathic pain study characteristics Author, Year Country Trial Type Quality Rating Type(s) of Pain Demographics Other Population Characteristics N Randomized N Analyzed Intervention Duration (Weeks) Funding Source Hussain, 2021 Pakistan Placebo-controlled Fair NPP (DPN) Age, mean: 45 Female: 0% R…
  15. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-2022-update-surv-rep-1-app-F1-4.xlsx
    January 01, 2022 - F-1. Can. Study Characteristics Table F-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
  16. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cer-250-cannabis-tables-e1-e4-2022-update_0.xlsx
    January 01, 2022 - E-1. Can. Study Characteristics Table E-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
  17. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-2023-surv-rep-1-app-F.xlsx
    January 01, 2023 - F-1. Can. Study Characteristics Table F-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
  18. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-2023-surv-rep-4-tables-E-1-E-4.xlsx
    January 01, 2023 - E-1. Can. Study Characteristics Table E-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
  19. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-2022-surv-rep-3-tables-F1-4.xlsx
    January 01, 2022 - F-1. Can. Study Characteristics Table F-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…
  20. effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-2022-surv-rep-4-tables-F1-4.xlsx
    January 01, 2022 - F-1. Can. Study Characteristics Table F-1. Cannabis RCTs study characteristics PMID Author, Year Study Design Crossover Design Enriched Enrollment Randomized Withdrawal Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race…

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