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dc.contributor.authorVirnig, Beth A.
dc.contributor.authorAsh, Arlene S.
dc.contributor.authorKind, Sara
dc.contributor.authorMesler, Douglas E.
dc.date2022-08-11T08:10:42.000
dc.date.accessioned2022-08-23T17:17:10Z
dc.date.available2022-08-23T17:17:10Z
dc.date.issued2000-12-01
dc.date.submitted2010-07-01
dc.identifier.citationHealth Serv Res. 2000 Dec;35(5 Pt 3):86-101. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1383597/pdf/16148954.pdf">Link to article on publisher's site</a>
dc.identifier.issn0017-9124 (Linking)
dc.identifier.pmid16148954
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47564
dc.description.abstractOBJECTIVE: To describe key methods and issues in conducting survival analyses, especially using Medicare (and other) administrative data. PRINCIPAL FINDINGS: Survival analyses are rich , informative, and underutilized methods for examining out comes whose timing is important . Medicare files contain the necessary information for conducting such analyses, including identification of cohorts, definition of events, censoring of observations, and adjustment for covariates. CONCLUSION: Survival analyses can readily be conducted using the information contained in administrative data files.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=16148954&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC1383597/pdf/16148954.pdf
dc.subjectAged
dc.subjectData Interpretation, Statistical
dc.subjectHealth Maintenance Organizations
dc.subjectHealth Services Research
dc.subjectHospices
dc.subjectHumans
dc.subjectKidney Failure, Chronic
dc.subjectMedicare
dc.subject*Mortality
dc.subjectOutcome Assessment (Health Care)
dc.subjectProportional Hazards Models
dc.subject*Survival Analysis
dc.subjectUnited States
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleSurvival analysis using Medicare data: example and methods
dc.typeJournal Article
dc.source.journaltitleHealth services research
dc.source.volume35
dc.source.issue5 Pt 3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/697
dc.identifier.contextkey1378843
html.description.abstract<p>OBJECTIVE: To describe key methods and issues in conducting survival analyses, especially using Medicare (and other) administrative data.</p> <p>PRINCIPAL FINDINGS: Survival analyses are rich , informative, and underutilized methods for examining out comes whose timing is important . Medicare files contain the necessary information for conducting such analyses, including identification of cohorts, definition of events, censoring of observations, and adjustment for covariates.</p> <p>CONCLUSION: Survival analyses can readily be conducted using the information contained in administrative data files.</p>
dc.identifier.submissionpathqhs_pp/697
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages86-101


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