Linked Life Data

10162773

Source:http://linkedlifedata.com/resource/pubmed/id/10162773

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1997-1-6
pubmed:abstractText
This paper outlines the approaches of two apparently competing schools of statistics. The criticisms made by supporters of Bayesian statistics about conventional Frequentist statistics are explained, and the Bayesian claim that their method enables research into new treatments without the need for clinical trials is examined in detail. Several further important issues are considered, including: the use of historical controls and data routinely collected on patients; balance in randomised trials; the possibility of giving information to patients; patient choice and patient autonomy; and how widely the results of clinical trials can be used. It is concluded that good statistical techniques in the design and analysis of medical studies are essential, but the statistical school used in developing such techniques is relatively unimportant.
pubmed:keyword
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
E
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1065-3058
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
95-102
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
The ethics of randomised controlled trials: a matter of statistical belief?
pubmed:affiliation
Department of Statistics and Computational Mathematics, University of Liverpool, UK.
pubmed:publicationType
Journal Article