Linked Life Data

21349013

Source:http://linkedlifedata.com/resource/pubmed/id/21349013

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2011-2-25
pubmed:abstractText
Randomized controlled trials are the standard method for comparing treatments because they avoid the selection bias that might arise if clinicians were free to choose which treatment a patient would receive. In practice, allocation of treatments in randomized controlled trials is often not wholly random with various 'pseudo-randomization' methods, such as minimization or balanced blocks, used to ensure good balance between treatments within potentially important prognostic or predictive subgroups. These methods avoid selection bias so long as full concealment of the next treatment allocation is maintained. There is concern, however, that pseudo-random methods may allow clinicians to predict future treatment allocations from previous allocation history, particularly if allocations are balanced by clinician or center. We investigate here to what extent treatment prediction is possible.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1756-5391
pubmed:author
pubmed:copyrightInfo
© 2009 Blackwell Publishing Asia Pty Ltd and Chinese Cochrane Center, West China Hospital of Sichuan University.
pubmed:issnType
Electronic
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
196-204
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Balancing treatment allocations by clinician or center in randomized trials allows unacceptable levels of treatment prediction.
pubmed:affiliation
Department of Haematology, Cardiff University School of Medicine, Cardiff, UK. HillsRK@cardiff.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't