Linked Life Data

10693902

Source:http://linkedlifedata.com/resource/pubmed/id/10693902

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2000-3-9
pubmed:abstractText
Valuations may be sensitive to biases, especially if elicited alongside randomized clinical trials. We investigated the construction of valuations assigned by women who entered a randomized clinical trial and were allocated to in-hospital or domiciliary monitoring. Women assigned valuations (0-10 visual analogue scale) to the strategy they had been allocated to and to the alternative strategy. Valuations were expressed as a between-subject difference (assigned by the women allocated to the respective strategies) and as within-subject differences (assigned by all women). Domiciliary monitoring was valued higher by the women allocated to that strategy (P = 0.10). In-hospital monitoring was valued higher by the women allocated to that strategy (P = 0.02). The average within-subject differences differed by allocated strategy (P<0.01). The within-subject valuation differences showed large variability between and within groups. An overrepresentation of women favoring domiciliary monitoring and asymmetric treatment experience inflated the average within-subject difference in the domiciliary group but deflated that difference in the in-hospital group. Neither the average between-subject difference nor the average within-subject differences are free of bias. Other study designs probably cannot prevent bias. Comparing within-subject and between-subject differences is instructive.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0895-4356
pubmed:author
pubmed:issnType
Print
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
39-45
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Comparing treatment valuations between and within subjects in clinical trials: does it make a difference?
pubmed:affiliation
Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, University of Amsterdam, The Netherlands.
pubmed:publicationType
Journal Article, Clinical Trial, Comparative Study, Controlled Clinical Trial, Research Support, Non-U.S. Gov't