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dc.contributor.authorAsh, Arlene S.
dc.date2022-08-11T08:08:14.000
dc.date.accessioned2022-08-23T15:47:37Z
dc.date.available2022-08-23T15:47:37Z
dc.date.issued2014-05-20
dc.date.submitted2014-09-08
dc.identifier.doi10.13028/nr22-9652
dc.identifier.urihttp://hdl.handle.net/20.500.14038/28029
dc.description<p>Presented at the 2014 UMass Center for Clinical and Translational Science Research Retreat, held on May 20, 2014 at the University of Massachusetts Medical School, Worcester, Mass.</p>
dc.description.abstractAs part of the mini-symposium entitled "Finding Signals Amidst the Noise," this presentation discusses how risk adjustment makes health care data more informative and enables useful comparisons.
dc.formatyoutube
dc.language.isoen_US
dc.rightsCopyright the Author(s)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subjectRisk adjustment
dc.subjectClinical Epidemiology
dc.subjectEpidemiology
dc.subjectHealth Services Administration
dc.subjectHealth Services Research
dc.subjectTranslational Medical Research
dc.titlePredicting Key Healthcare Outcomes
dc.typePresentation
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1212&amp;context=cts_retreat&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/cts_retreat/2014/presentations/2
dc.identifier.contextkey6091502
refterms.dateFOA2022-08-23T15:47:37Z
html.description.abstract<p>As part of the mini-symposium entitled "Finding Signals Amidst the Noise," this presentation discusses how risk adjustment makes health care data more informative and enables useful comparisons.</p>
dc.identifier.submissionpathcts_retreat/2014/presentations/2


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