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effectivehealthcare.ahrq.gov/sites/default/files/related_files/glaucoma-screening_disposition-comments.pdf
April 01, 2012 - It should be noted that some
investigators advocate not using functional features in
the definition
-
effectivehealthcare.ahrq.gov/sites/default/files/pdf/white-paper-framework-for-conceptualizing-evidence-needs_0.pdf
December 01, 2017 - individual clinicians’ needs (as opposed to operational, delivery and policy needs).63
In describing core features
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effectivehealthcare.ahrq.gov/sites/default/files/pdf/ongoing-studies-evidence_research.pdf
December 01, 2010 - published as well as unpublished, in which details concerning the trial’s objectives, main design
features
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hcup-us.ahrq.gov/db/nation/neds/NEDS2014Introduction.pdf
December 12, 2016 - One of the most
distinctive features of the NEDS is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2020.jsp
January 01, 2020 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/neds/NEDSIntroduction2021.pdf
March 01, 2024 - One of the most distinctive features of the
NEDS is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2016.jsp
January 01, 2016 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2017.jsp
January 01, 2017 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/neds/NEDS2020Introduction.pdf
September 01, 2022 - One of the most distinctive features of the
NEDS is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2014.jsp
January 01, 2014 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis
-
effectivehealthcare.ahrq.gov/sites/default/files/related_files/colorectal-cancer-screening_disposition-comments.pdf
February 01, 2012 - There are no behavioral features known to date
that are directly predictive of the underlying molecular
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/primary-healthcare-spending-disposition-comments.pdf
May 17, 2024 - above to call for more research on the
association of these different measures and different
measure features
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/heart-failure-natriuretic-peptide_executive.pdf
November 01, 2013 - Research Gaps
Future trials should consider the following design features:
• Therapy optimized at baseline
-
effectivehealthcare.ahrq.gov/sites/default/files/pdf/diagnostic-tests-accuracy_research.pdf
January 01, 2013 - Marquette GP, Boucher M, Desrochers M, features associated with Down syndrome in et al.
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www.ahrq.gov/sites/default/files/wysiwyg/pqmp/measures/availability/chipra-0120-fullreport.pdf
May 01, 2018 - Evidence for Importance of the Measure to Medicaid and/or CHIP
Comment on any specific features of this
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www.ahrq.gov/sites/default/files/wysiwyg/pqmp/measures/availability/chipra-0121-fullreport.pdf
October 01, 2019 - Evidence for Importance of the Measure to Medicaid and/or CHIP
7
Comment on any specific features
-
www.ahrq.gov/sites/default/files/wysiwyg/pqmp/measures/availability/chipra-0123-fullreport.pdf
November 01, 2019 - Evidence for Importance of the Measure to Medicaid and/or CHIP
Comment on any specific features of this
-
www.ahrq.gov/sites/default/files/wysiwyg/pqmp/measures/availability/chipra-0122-fullreport.pdf
September 01, 2019 - Evidence for Importance of the Measure to Medicaid and/or CHIP
7
Comment on any specific features
-
www.ahrq.gov/sites/default/files/wysiwyg/pqmp/measures/outcomes/chipra-140-fullreport.pdf
November 02, 2017 - Evidence for Importance of the Measure to Medicaid and/or CHIP
Comment on any specific features of this
-
www.uspreventiveservicestaskforce.org/home/getfilebytoken/Xbtq4oDQwVo7KgmSjnnDbz
November 01, 2021 - Incidental finding of renal masses at
unenhanced CT: prevalence and analysis of features
for guiding