Linked Life Data

9695196

Source:http://linkedlifedata.com/resource/pubmed/id/9695196

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
13
pubmed:dateCreated
1998-11-6
pubmed:abstractText
In phase II to phase IV studies, randomization has gained widespread acceptance as a methodologic tool for the allocation of patients to treatment. However, randomization is not always feasible. At times, the treatment intervention occurs universally throughout one or more units (for example, a hospital unit), while the control therapy is the only intervention provided in other units. Patients may arrive randomly at a unit, based solely on availability of the unit to accept new subjects. Thus, the treatment assignment process is out of the investigator's control and not subject to selection bias. We describe a prospective individual matching procedure through which one can achieve balanced allocation of subjects to treatment groups in this comparative study setting. In this paper, we compare balance of baseline covariates and power for this design, in which the subject is selected at random and assigned to a treatment group, and the traditional randomized block design, in which the treatment is chosen at random and assigned to a subject. We show that the prospective individual matching procedure compares favourably to the traditional randomized blocked design with respect to both baseline covariate comparability and statistical power.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0277-6715
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1517-26
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Prospective individual matching: covariate balance and power in a comparative study.
pubmed:affiliation
Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't