Lingua: Inglese
Editore: SAGE Publications, Incorporated, 2001
ISBN 10: 0761908242 ISBN 13: 9780761908241
Da: Better World Books, Mishawaka, IN, U.S.A.
Prima edizione
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Aggiungi al carrelloHardcover. Condizione: Brand New. 704 pages. 9.25x8.00x1.50 inches. In Stock.
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As healthcare policy turns toward the use of evidence-based medicine, there is a heightened need for resources that cover the process of research synthesis for the purpose of healthcare outcome improvement. The authors integrate the conceptual and proced.
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Aggiungi al carrelloBuch. Condizione: Neu. Healthcare Informatics and Information Synthesis | Developing and Applying Clinical Knowledge to Improve Outcomes | John W. Williamson (u. a.) | Buch | Gebunden | Englisch | 2001 | Sage Publications, Inc | EAN 9780761908241 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 277,21
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Comprehensive, thoughtful, and well-organized . . . an excellent guide to searching, evaluating, organizing, and reporting the results of information syntheses.'CANADIAN JOURNAL OF PUBLIC HEALTHAs healthcare policy and practice turn toward the use of evidence-based medicine, there is a heightened need for resources that cover the process of research synthesis for the purpose of healthcare outcome improvement. Healthcare Informatics and Information Synthesis integrates the conceptual and procedural dimensions of research synthesis in each of the five stages of the process to produce step-by-step instructions for clinically applicable research syntheses. Explicit instructions are given for tasks ranging from computing a kappa to aggregating effect sizes. The authors provide seven detailed meta-analytic examples that cover a variety of data types, ranging from mean differences to odds ratios, allowing the reader to replicate the results exactly.