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ISSN : 979-1-291-88321-3 : € 0,00
Languages : French (fre)
Descriptors: Indexation
Communication ; Data protection ; Electronic data processing ; Informatics ; Information Systems
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T 58.64 Management of information systemsRecord link: https://kce.docressources.info/index.php?lvl=notice_display&id=3793 Hold
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Barcode Call number Media type Location Section Status 10273-03165 T 58.64 / BER Book KCE Library (10.124) Available
7,95 €
Languages : French (fre)
Descriptors: Classification
QA 75.5 Electronic computers. Computer science (Periodicals, societies, congresses, serial publications)
Indexation
Computer Science ; Database ; Electronic data processing ; SoftwareRecord link: https://kce.docressources.info/index.php?lvl=notice_display&id=1832 Hold
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Barcode Call number Media type Location Section Status 10237-01764 QA 75.5/SER Journal KCE Library (10.124) Available
ISSN : 10273-01763 : 7,19 €
Languages : French (fre)
Descriptors: Classification
QA 75.5 Electronic computers. Computer science (Periodicals, societies, congresses, serial publications)
Indexation
Computer Science ; Database ; Electronic data processing ; SoftwareRecord link: https://kce.docressources.info/index.php?lvl=notice_display&id=1831 Hold
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Barcode Call number Media type Location Section Status 10273-01763 QA 75.5 /DAR Journal KCE Library (10.124) Available Staat van de gezondheidszorg 2011 / Utrecht : Inspectie voor de Gezondheidszorg (2011)
€ 0,00
Languages : Dutch (nla)
Descriptors: Classification
W 26.5 Informatics. Health informatics
Indexation
Electronic data processing ; Health Care ; Health Care Costs ; legislation and jurisprudence ; Patient Care ; statistics and numerical data [Subheading]Abstract: Uit onderzoek van de Inspectie voor de Gezondheidszorg blijkt dat de risico’s die in de zorg ontstaan door gebrekkige informatie-uitwisseling tussen zorgverleners en instellingen niet automatisch kunnen worden opgelost door de toepassing van ICT. Er moeten eerst duidelijke afspraken zijn over welke informatie relevant is. Om de informatie vervolgens te kunnen delen via ICT-systemen, moeten er daarnaast afspraken komen over het opslaan en delen van de informatie. De inspectie roept het zorgveld op om zo snel mogelijk zorgbrede normen en standaarden te ontwikkelen. Link for e-copy: http://www.igz.nl/Images/2011-10%20Staat%20van%20de%20Gezondheidszorg%202011_tcm [...] Format of e-copy: PDF (2,54 Mb) Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=3617 Hold
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Barcode Call number Media type Location Section Status 10273-03072 W 26.5 / STA Book KCE Library (10.124) Available
ISBN : 978-1-59994-640-5
Languages : English (eng)
Descriptors: Classification
QA 76.755 - Computer Software. Handbook
Indexation
Automatic Data Processing ; Electronic data processing ; Handbooks ; SAS ; SoftwareAbstract: Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events.
Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data.Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=1925 Hold
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Barcode Call number Media type Location Section Status 10273-02005 QA 76.755 / ALL Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
Survival analysis using the SAS system Allison, Paul David Le financement des hôpitaux en Belgique Durant, G. Models for discrete longitudinal data Molenberghs, Geert A good life in old age? Organisation for Economic Co-operation and Development, European Commission A visual guide to stata graphics Mitchel, Michael N. Cochrane Handbook for Systematic Reviews of Interventions Higgins, Julian PT Cancer Care Common Statistical Methods for Clinical Research Walker, Glenn A. Bayesian approaches to clinical trials and health-care evaluation Spiegelhalter, D. J. Clinical trials Brody, Tom Epidemiology Woodward, Mark PermalinkPermalink
