Linked Life Data

9280034

Source:http://linkedlifedata.com/resource/pubmed/id/9280034

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
1997-10-21
pubmed:abstractText
If we wish to evaluate the efficacy of a proposed treatment applicable only to a subset of the patient population, then a comparison of the results of the proposed treatment with historical experience may be misleading if the applicability of the proposed treatment is itself of prognostic value. We present a Bayesian strategy to estimate the response rate of patients eligible for the proposed treatment but who receive standard therapy; we can compare the results with the experimentally observed response rate of patients who receive the proposed therapy. I extend the approach to apply to time to event data that may be censored, such as time to disease progression. One can use the information obtained in this fashion to evaluate experimental designs for future trials of the proposed treatment.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0277-6715
pubmed:author
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1803-15
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
A bayesian strategy for evaluating treatments applicable only to a subset of patients.
pubmed:affiliation
Department of Biomathematics, University of Texas M.D. Anderson Cancer Center, Houston 77030, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.