Leveraging Statistical Simulations to Gain Insights From Data: A New Type of Simulation for Nurses

2.50
Hdl Handle:
http://hdl.handle.net/10755/622432
Category:
Full-text
Format:
Text-based Document
Type:
Poster
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Leveraging Statistical Simulations to Gain Insights From Data: A New Type of Simulation for Nurses
Author(s):
Jeffery, Alvin D.
Lead Author STTI Affiliation:
Iota
Author Details:
Alvin D. Jeffery, PhD, Geriatric Research Education Clinical Center, TN Valley Healthcare System, U.S. Department of Veterans Affairs, Nashville, TN, USA
Abstract:

This presentation will provide several examples of statistical simulation studies in order to demonstrate the benefit of these techniques for nurse scientists working with quantitative data.

Keywords:
quantitative methods; simulation; statistics
Repository Posting Date:
27-Jul-2017
Date of Publication:
27-Jul-2017
Other Identifiers:
INRC17PST391
Conference Date:
2017
Conference Name:
28th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International
Conference Location:
Dublin, Ireland
Description:
Event Theme: Influencing Global Health Through the Advancement of Nursing Scholarship

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePosteren
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titleLeveraging Statistical Simulations to Gain Insights From Data: A New Type of Simulation for Nursesen_US
dc.contributor.authorJeffery, Alvin D.en
dc.contributor.departmentIotaen
dc.author.detailsAlvin D. Jeffery, PhD, Geriatric Research Education Clinical Center, TN Valley Healthcare System, U.S. Department of Veterans Affairs, Nashville, TN, USAen
dc.identifier.urihttp://hdl.handle.net/10755/622432-
dc.description.abstract<p><span>This presentation will provide several examples of statistical simulation studies in order to demonstrate the benefit of these techniques for nurse scientists working with quantitative data.</span></p>en
dc.subjectquantitative methodsen
dc.subjectsimulationen
dc.subjectstatisticsen
dc.date.available2017-07-27T21:16:21Z-
dc.date.issued2017-07-27-
dc.date.accessioned2017-07-27T21:16:21Z-
dc.conference.date2017en
dc.conference.name28th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau Internationalen
dc.conference.locationDublin, Irelanden
dc.descriptionEvent Theme: Influencing Global Health Through the Advancement of Nursing Scholarshipen
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