Linked Life Data

20233851

Source:http://linkedlifedata.com/resource/pubmed/id/20233851

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-4-9
pubmed:abstractText
Large numbers of observations are needed to provide adequate power in epidemiologic studies of biomarkers and cancer risk. However, there are currently few large mature studies with adequate numbers of cases with biospecimens available. Therefore, pooling biomarker measures from different studies is a valuable approach, enabling investigators to make robust estimates of risk and to examine associations in subgroups of the population. The ideal situation is to have standardized methods in all studies so that the biomarker data can be pooled in their original units. However, even when the studies do not have standardized methods, as with existing studies on hormones and cancer, a simple approach using study-specific quantiles or percentage increases can provide substantial information on the relationship of the biomarker with cancer risk.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1538-7755
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
960-5
pubmed:dateRevised
2010-10-6
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Pooling biomarker data from different studies of disease risk, with a focus on endogenous hormones.
pubmed:affiliation
Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, Oxford University, Richard Doll Building, Roosevelt Drive, Oxford OX3 7LF, United Kingdom. tim.key@ceu.ox.ac.uk
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't