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dc.contributor.authorDiehr, P.
dc.contributor.authorYanez, D.
dc.contributor.authorAsh, Arlene S.
dc.contributor.authorHornbrook, M.
dc.contributor.authorLin, D. Y.
dc.date2022-08-11T08:10:42.000
dc.date.accessioned2022-08-23T17:17:05Z
dc.date.available2022-08-23T17:17:05Z
dc.date.issued1999-06-03
dc.date.submitted2010-07-01
dc.identifier.citationAnnu Rev Public Health. 1999;20:125-44. <a href="http://dx.doi.org/10.1146/annurev.publhealth.20.1.125">Link to article on publisher's site</a>
dc.identifier.issn0163-7525 (Linking)
dc.identifier.doi10.1146/annurev.publhealth.20.1.125
dc.identifier.pmid10352853
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47548
dc.description.abstractImportant questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=10352853&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1146/annurev.publhealth.20.1.125
dc.subjectData Interpretation, Statistical
dc.subjectHealth Care Costs
dc.subjectHealth Services
dc.subjectHealth Services Needs and Demand
dc.subjectHealth Services Research
dc.subjectHumans
dc.subject*Models, Statistical
dc.subjectUnited States
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleMethods for analyzing health care utilization and costs
dc.typeJournal Article
dc.source.journaltitleAnnual review of public health
dc.source.volume20
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/682
dc.identifier.contextkey1378828
html.description.abstract<p>Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.</p>
dc.identifier.submissionpathqhs_pp/682
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages125-44


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