Linked Life Data

19520966

Source:http://linkedlifedata.com/resource/pubmed/id/19520966

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2009-10-27
pubmed:abstractText
Although use of GEE has become widespread for analyzing longitudinal data in many fields, much research in nursing still uses only the traditional statistical methods. This article illustrates use of GEE, using a data set describing symptoms of women with gynecological cancers, with eight data collection times across a period of 6 months. Three research questions are analyzed: (a) Did number of symptoms in women with gynecological cancer change within 6 months after surgery? (b) Did individual symptom (e.g., pain) in women with gynecological cancers change within 6 months after surgery? (c) Were psychosocial and disease variables (age, cancer site, new diagnosis or recurrence, treatment, emotional distress, and use of symptom management toolkit) associated with individual symptoms (e.g., fatigue) in women with gynecological cancers? For each research question, SAS code and explanation of SAS instructions are described in detail. Missing data and time intervals for longitudinal studies are also discussed.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0193-9459
pubmed:author
pubmed:issnType
Print
pubmed:volume
31
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
948-64
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Using generalized estimating equations to analyze longitudinal data in nursing research.
pubmed:affiliation
The Nethersole School of Nursing of The Chinese University of Hong Kong, Hong Kong. shanliu2002@yahoo.com.cn
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural