Survival analysis using Medicare data: example and methods
dc.contributor.author | Virnig, Beth A. | |
dc.contributor.author | Ash, Arlene S. | |
dc.contributor.author | Kind, Sara | |
dc.contributor.author | Mesler, Douglas E. | |
dc.date | 2022-08-11T08:10:42.000 | |
dc.date.accessioned | 2022-08-23T17:17:10Z | |
dc.date.available | 2022-08-23T17:17:10Z | |
dc.date.issued | 2000-12-01 | |
dc.date.submitted | 2010-07-01 | |
dc.identifier.citation | Health 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.issn | 0017-9124 (Linking) | |
dc.identifier.pmid | 16148954 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/47564 | |
dc.description.abstract | OBJECTIVE: 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.iso | en_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.url | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1383597/pdf/16148954.pdf | |
dc.subject | Aged | |
dc.subject | Data Interpretation, Statistical | |
dc.subject | Health Maintenance Organizations | |
dc.subject | Health Services Research | |
dc.subject | Hospices | |
dc.subject | Humans | |
dc.subject | Kidney Failure, Chronic | |
dc.subject | Medicare | |
dc.subject | *Mortality | |
dc.subject | Outcome Assessment (Health Care) | |
dc.subject | Proportional Hazards Models | |
dc.subject | *Survival Analysis | |
dc.subject | United States | |
dc.subject | Biostatistics | |
dc.subject | Epidemiology | |
dc.subject | Health Services Research | |
dc.title | Survival analysis using Medicare data: example and methods | |
dc.type | Journal Article | |
dc.source.journaltitle | Health services research | |
dc.source.volume | 35 | |
dc.source.issue | 5 Pt 3 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/qhs_pp/697 | |
dc.identifier.contextkey | 1378843 | |
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.submissionpath | qhs_pp/697 | |
dc.contributor.department | Department of Quantitative Health Sciences | |
dc.source.pages | 86-101 |