Biostatistics and study design for evidence-based practice.
The hallmark of an evidence-based practitioner is one who reflects on their clinical decision making and uses research evidence to reduce clinical uncertainty and guide their practice. Understanding how the results of empirical research can be appropriately integrated into clinical practice requires...
| Publicado en: | AACN Clinical Issues: Advanced Practice in Acute & Critical Care Vol. 12; no. 4; pp. 546 - 560 |
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| Autor principal: | |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
2001 Nov
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106893997&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106893997 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10790713 43Y jtl: AACN Clinical Issues: Advanced Practice in Acute & Critical Care issn: 10790713 maglogo: N pubinfo: dt: 2001 Nov vid: 12 iid: 4 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 106893997 106893997 2002014900 NLM11759427 106893997 ppf: 546 ppct: 14 formats: tig: atl: Biostatistics and study design for evidence-based practice. aug: au: Sheldon TA affil: Head of Department of Health Studies, University of York, Heslington, York YO10 5DD, UK. E-mail: tas5@york.ac.uk sug: subj: Nursing Practice, Evidence-Based Data Analysis, Statistical Study Design Type I Error Clinical Trials Type II Error Sampling Error Sample Size Measurement Issues and Assessments Confidence Intervals Internal Validity ab: The hallmark of an evidence-based practitioner is one who reflects on their clinical decision making and uses research evidence to reduce clinical uncertainty and guide their practice. Understanding how the results of empirical research can be appropriately integrated into clinical practice requires a basic understanding of study design and statistical analysis. This article provides an overview of some of the key concepts related to study design and statistical inference that are important to accurately measure clinical outcomes and to appropriately interpret the results of studies within the context of evidence-based decision making. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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