Linked Life Data

17918195

Source:http://linkedlifedata.com/resource/pubmed/id/17918195

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
30
pubmed:dateCreated
2007-12-17
pubmed:abstractText
This paper proposes a method for computing conservative confidence intervals for a group sequential test in which an adaptive design change is made one or more times over the course of the trial. The key idea, due to Müller and Schäfer (Biometrics 2001; 57:886-891), is that by preserving the null conditional rejection probability of the remainder of the trial at the time of each adaptive change, the overall type I error rate, taken unconditionally over all possible design modifications, is also preserved. We show how this principle may be extended to construct one-sided confidence intervals by applying the idea to a sequence of dual tests derived from the repeated confidence intervals (RCIs) proposed by Jennison and Turnbull (J. Roy. Statist. Soc. B 1989; 51:301-361). These adaptive RCIs, such as their classical counterparts, have the advantage that they preserve the desired coverage probability even if the pre-specified stopping rule is over-ruled. The statistical methodology is explored by simulations and is illustrated by an application to a clinical trial of deep brain stimulation for Parkinson's disease.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2007 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5422-33
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Repeated confidence intervals for adaptive group sequential trials.
pubmed:affiliation
Cytel Corporation, Cambridge, MA 02139, USA. mehta@cytel.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't