dc.contributor.author | Καραγιάννη, Βιλελμίνη Ι. | el |
dc.date.accessioned | 2015-01-08T23:42:14Z | |
dc.date.available | 2015-01-08T23:42:14Z | |
dc.date.issued | 2015-01-09 | |
dc.identifier.uri | http://hdl.handle.net/11400/3589 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://www.tandfonline.com/ | en |
dc.subject | Αξιολόγηση της υγειονομικής περίθαλψης | |
dc.subject | Αβεβαιότητα δειγματοληψίας | |
dc.subject | Στοχαστική ανάλυση κόστους - αποτελεσματικότητας | |
dc.subject | Healthcare evaluation | |
dc.subject | Sampling uncertainty | |
dc.subject | Stochastic cost effectiveness analyses | |
dc.title | Handling Uncertainty in the Cost Effectiveness Healthcare Evaluations | en |
heal.type | journalArticle | |
heal.classification | Medical care | |
heal.classification | Public health | |
heal.classification | Υγειονομική περίθαλψη | |
heal.classification | Δημόσια υγεία | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85082871 | |
heal.classificationURI | http://lod.nal.usda.gov/28292 | |
heal.classificationURI | **N/A**-Υγειονομική περίθαλψη | |
heal.classificationURI | **N/A**-Δημόσια υγεία | |
heal.identifier.secondary | DOI: 10.1080/03610920802393079 | |
heal.language | en | |
heal.access | free | |
heal.recordProvider | Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας.Σχολή Επαγγελμάτων Υγείας και Πρόνοιας.Τμήμα Δημόσιας Υγείας και Κοινοτικής Υγείας.Κατεύθυνση Δημόσιας Υγείας (Δημόσιας Yγιεινής). | el |
heal.publicationDate | 2009-04 | |
heal.bibliographicCitation | Carayanni, V.I. (2009). Handling Uncertainty in the Cost Effectiveness Healthcare Evaluations. A Review of Statistical Approaches. Communications in Statistics-Theory and Methods. [Online] 38. pp.1224-1240. Available from: http://dx.doi.org/10.1080/03610920802393079 [Accessed 9/1/2015] | en |
heal.abstract | Healthcare economic evaluation is an analytical tool used with increasing frequency to assist decision making in the choice and financing of interventions and technologies in the healthcare system. The objective of this article is to analyze the different methods of handling with sampling uncertainty in healthcare cost effectiveness evaluations when patient level data are available. The aim of this article is to focus on the strengths and the weakness of each method in order to facilitate the tasks of those who must base their choices on studies of this kind. | en |
heal.publisher | Taylor & Francis Group, LLC | en |
heal.journalName | Communications in Statistics—Theory and Methods | el |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | true |
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