Linked Life Data

19053162

Source:http://linkedlifedata.com/resource/pubmed/id/19053162

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-3-18
pubmed:abstractText
In longitudinal clinical trials, a common objective is to compare the rates of changes in an outcome variable between two treatment groups. Generalized estimating equation (GEE) has been widely used to examine if the rates of changes are significantly different between treatment groups due to its robustness to misspecification of the true correlation structure and randomly missing data. The sample size formula for repeated outcomes is based on the assumption of missing completely at random and a large sample approximation. A simulation study is conducted to investigate the performance of GEE sample size formula with small sample sizes, damped exponential family of correlation structure and non-ignorable missing data.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1539-1612
pubmed:author
pubmed:copyrightInfo
(c) 2008 John Wiley & Sons, Ltd.
pubmed:issnType
Electronic
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2-9
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Effects of correlation and missing data on sample size estimation in longitudinal clinical trials.
pubmed:affiliation
Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, N.I.H., Extramural