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  1. effectivehealthcare.ahrq.gov/sites/default/files/pdf/major-depressive-disorder_research-protocol.pdf
    November 24, 2014 - We will include pooled estimates of effect or other relevant results from SRs with meta- analyses that … For all analyses, we will use random-effects models to estimate pooled or comparative effects. … If we include any meta-analyses with considerable statistical heterogeneity in this report, we will … We plan to stratify analyses and/or perform subgroup analyses when possible and appropriate to examine … For any quantitative analyses, we will conduct sensitivity analyses including high risk-of- bias studies
  2. effectivehealthcare.ahrq.gov/sites/default/files/wysiwyg/missing-data-registries-guide-3rd-ed-addendum-white-paper.pdf
    February 01, 2018 - Once analyses are complete, reports of the registry findings should include information on the amount … Information that is being collected for secondary objectives or to support subgroup analyses may be … Complete case analyses, which are based on only observations for which all relevant data are present … For analyses that account for missing data, authors should describe the nature of the analysis (e.g. … Conducting sensitivity analyses (see 12 Managing Missing Data in Patient Registries sections
  3. effectivehealthcare.ahrq.gov/sites/default/files/related_files/prostate-cancer-test_executive.pdf
    April 01, 2013 - Analyses included clinical sensitivity, clinical specificity (or the false positive rate equal to 1- … When data were available, the following analyses were performed for PCA3 and one or more comparators … Results Detailed description of analyses with tables and figures are included in the full report. … This bias cannot be avoided by statistical analysis, but was addressed by stratifying analyses and … No similar analyses can be made for any other comparator for diagnostic accuracy.
  4. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1999_Design_Report.jsp
    January 01, 1999 - Therefore, sample weights were developed separately for hospital- and discharge-level analyses. … Given that a very large number of observations will be available for most analyses, it may be feasible … Longitudinal Analyses Hospitals that continue in the NIS for multiple consecutive years are a subset … Consequently, longitudinal analyses of hospital-level outcomes may be biased if they are based on any … In any case, the analyses may be more efficient (e.g., produce more precise estimates) if they account
  5. hcup-us.ahrq.gov/db/vars/cptn/nedsnote.jsp
    May 01, 2015 - Cost-to-Charge Ratio (CCR) Files Hospital Market Structure (HMS) Files Supplemental Variables for Revisit Analyses … did not consider the quality of the CPT information to be reliable and did not use CPT codes in their analyses … New York used only the ICD-9-CM codes for analyses.
  6. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2003_v7.jsp
    January 01, 2003 - In all data years except 2000, this weight is used to create national estimates for all analyses. … In all data years except 2000, this weight is used to create national estimates for all analyses. … In all data years except 2000, this weight is used to create national estimates for all analyses. … DISCWT10 for all analyses 2000 DISCWT to create nationwide estimates for all analyses … DISCWT10 for all analyses 1988 - 1997 DISCWT_U for all analyses D10CWT_U for
  7. digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kawamoto-k-et-al-2005
    January 01, 2005 - Univariate analyses revealed that, for five of the system features, interventions possessing the feature … system advice to be bypassed without recording a reason (rate difference 41% (19% to 54%));" Other analyses … Other analyses confirmed this finding.
  8. digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-prevent-medication-induced-birth/annual-summary/2010
    January 01, 2010 - In preliminary analyses of the EMR data, two important issues were identified. … As a result, study analyses will be adjusted and this limitation will be described in manuscripts. … In 2011, the team will complete further analyses of the EMR data that incorporate information provided
  9. digital.ahrq.gov/ahrq-funded-projects/using-telemedicine-system-promote-patient-care-among-underserved-individuals/annual-summary/2010
    January 01, 2010 - The research team has also begun data cleaning and preliminary data analyses. … Additional analyses will include assessment of patient perceptions of the intervention and changes in … To account for potential differences between IVR and computer users, the analyses will be stratified
  10. hcup-us.ahrq.gov/news/exhibit_booth/kid_brochure.jsp
    May 01, 2018 - Cost-to-Charge Ratio (CCR) Files Hospital Market Structure (HMS) Files Supplemental Variables for Revisit Analyses … It also enables analyses of rare conditions, such as congenital anomalies, as well as uncommon treatments … Expand Your Analyses Use HCUP Tools.
  11. digital.ahrq.gov/sites/default/files/docs/citation/r18hs022701-ornstein-final-report-2014.pdf
    January 01, 2014 - Methods: Multi-method approach combining 1) cross sectional analyses of the associations between … In multivariate analyses, EHR reminders were frequently associated with individual CQM performance; … All statistical analyses were conducted using SAS v9.3 (Cary, NC). … A second investigator (AW) performed independent analyses of the field notes and transcripts. … associations persisted in multivariate analyses.
  12. psnet.ahrq.gov/issue/maximize-patient-safety-advanced-root-cause-analysis
    November 18, 2011 - May 21, 2019 RCA2: Improving Root Cause Analyses and Actions to Prevent Harm. … March 23, 2016 VA Health Care: Actions Needed to Assess Decrease in Root Cause Analyses
  13. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.pdf
    January 01, 1997 - Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP) was established to provide analyses … 5 1996 19 906 6.5 6 1997 22 1012 7.1 Thus, the NIS supports both cross-sectional and longitudinal analyses … Therefore, sample weights were developed separately for hospital- and discharge-level analyses. … All of these discharge weights can be rescaled if necessary for selected analyses, to sum to the NIS … Consequently, longitudinal analyses of hospital-level outcomes may be biased if they are based on any
  14. effectivehealthcare.ahrq.gov/sites/default/files/related_files/nppv-respiratory-failure_executive.pdf
    July 01, 2012 - A total of 12 RCTs were included in our analyses for KQ 2. … Table G summarizes the findings and strength of evidence for each of these analyses. … These analyses were limited by the paucity of effectiveness trials. … These analyses were limited by the paucity of effectiveness trials. … if analyses use all patients randomized.
  15. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1992_1988_Design_Report.jsp
    January 01, 1992 - Thus, the NIS supports both cross-sectional and longitudinal analyses. … All of these discharge weights can be rescaled if necessary for selected analyses, to sum to the NIS … Given that a very large number of observations will be available for most analyses, it may be feasible … Consequently, longitudinal analyses of hospital-level outcomes may be biased if they are based on any … In any case, the analyses may be more efficient (e.g., produce more precise estimates) if they account
  16. effectivehealthcare.ahrq.gov/sites/default/files/pdf/cancer-decision-support-tools_research-protocol.pdf
    November 12, 2013 - In quantitative analyses, we will consider performing subgroup analyses to assess the impact of each … Meta-regression analyses or network meta- analyses are more complex, but provide an opportunity to address … Main analyses will include all relevant studies; subgroup analyses by clinical diversity (e.g., at high … All meta-analyses will be based on random effects models.33 Sensitivity analyses (including leave-one-out … analyses, analyses assuming a fixed effects model, and reanalyses after excluding a group of studies
  17. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/42430/psn-pdf
    February 19, 2014 - Framework for analysing risk and safety in clinical medicine. February 19, 2014 Vincent C, Taylor-Adams S, Stanhope N. Framework for analysing risk and safety in clinical medicine. BMJ. 1998;316(7138):1154-7. https://psnet.ahrq.gov/issue/framework-analysing-risk-and-safety-clinical-medicine This commentary outlin…
  18. effectivehealthcare.ahrq.gov/sites/default/files/pdf/continuous-outcomes-quantitative-synthesis_methods.pdf
    March 01, 2011 - Subgroup analyses can also be done by grouping studies according to inclusion criteria. … to compare results from ANCOVA versus non-ANCOVA estimates as sensitivity analyses. … Imputing missing standard deviations in meta-analyses can provide accurate results. … Multiplicity of data in trial reports and the reliability of meta-analyses: empirical study. … Expressing findings from meta-analyses of continuous outcomes in terms of risks.
  19. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1996_Design_Report.jsp
    January 01, 1996 - 5 1996 19 906 6.5 Thus, the NIS supports both cross-sectional and longitudinal analyses … Therefore, sample weights were developed separately for hospital- and discharge-level analyses. … All of these discharge weights can be rescaled if necessary for selected analyses, to sum to the NIS … Given that a very large number of observations will be available for most analyses, it may be feasible … Consequently, longitudinal analyses of hospital-level outcomes may be biased if they are based on any
  20. www.uspreventiveservicestaskforce.org/home/getfilebytoken/6L2obA88s86MoZDbWtMPTU
    December 01, 2011 - characteristics, including baseline vitamin D status and use of supplements; details of statistical analyses … Data Synthesis For analyses of RCTs included for KQ 1, we used the DerSimonian–Laird random-effects … Analyses were conducted by using Stata SE 11 soft- ware (StataCorp, College Station, Texas). … Measuring inconsistency in meta-analyses. BMJ. 2003;327:557-60. [PMID: 12958120] 14. … The strengths and limitations of meta-analyses based on aggregate data.