2.50
Hdl Handle:
http://hdl.handle.net/10755/163832
Category:
Abstract
Type:
Presentation
Title:
Approaching missing data
Author(s):
Feinstein, Nancy
Author Details:
Nancy Feinstein, Senior Research Associate, University of Rochester, School of Nursing, Center for Research and Evidence-Based Practice, Rochester, New York, USA, email: nancy_feinstein@urmc.rochester
Abstract:
Missing data is a challenging issue that should be addressed in the planning, implementation, and analysis of any investigation. However, approaches for missing data are particularly important when conducting longitudinal intervention studies. The purpose of this presentation is to highlight strategies to manage missing data, including: (a) preventing missing data; (b) retrieving missing data, (c) understanding the patterns of missing data, (d) determining whether the data are missing at random, (e) considering the amount of missing data and the impact on data analyses, and (f) data analytic strategies for addressing missing data. Participants will gain a working knowledge of missing data issues and management strategies.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2002
Conference Name:
14th Annual Scientific Sessions
Conference Host:
Eastern Nursing Research Society
Conference Location:
University Park, Pennsylvania, USA
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleApproaching missing dataen_GB
dc.contributor.authorFeinstein, Nancyen_US
dc.author.detailsNancy Feinstein, Senior Research Associate, University of Rochester, School of Nursing, Center for Research and Evidence-Based Practice, Rochester, New York, USA, email: nancy_feinstein@urmc.rochesteren_US
dc.identifier.urihttp://hdl.handle.net/10755/163832-
dc.description.abstractMissing data is a challenging issue that should be addressed in the planning, implementation, and analysis of any investigation. However, approaches for missing data are particularly important when conducting longitudinal intervention studies. The purpose of this presentation is to highlight strategies to manage missing data, including: (a) preventing missing data; (b) retrieving missing data, (c) understanding the patterns of missing data, (d) determining whether the data are missing at random, (e) considering the amount of missing data and the impact on data analyses, and (f) data analytic strategies for addressing missing data. Participants will gain a working knowledge of missing data issues and management strategies.en_GB
dc.date.available2011-10-27T11:14:38Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T11:14:38Z-
dc.conference.date2002en_US
dc.conference.name14th Annual Scientific Sessionsen_US
dc.conference.hostEastern Nursing Research Societyen_US
dc.conference.locationUniversity Park, Pennsylvania, USAen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.