Linked Life Data

16841256

Source:http://linkedlifedata.com/resource/pubmed/id/16841256

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2006-7-17
pubmed:abstractText
The inclusion of biomarkers measured on the continuous scale, such as endogenous sex hormones or antioxidant levels, has become common in epidemiologic studies, and introduces additional sources of error that are specific to biomarkers. This includes error associated with specimen collection, processing, and storage; laboratory error (both within and between batch); and variability in the biomarker levels over time within an individual. In this review, we discuss and recommend study design and analytic strategies to deal with these sources of measurement error. In particular we describe methods to prevent or minimize some sources of error through appropriate sample collection and storage, communication with the laboratory, proper batching of samples, and participant matching. We also discuss how to quantify error related to biomarkers, focusing on issues of quality control, pilot studies, and how to measure within-person stability over time. Further, we discuss analytic issues for dealing with laboratory and within-person variability. Finally we recommend that journals standardize the reporting of biomarker assays in scientific manuscripts.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0957-5243
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
889-99
pubmed:dateRevised
2011-11-17
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Use of biomarkers in epidemiologic studies: minimizing the influence of measurement error in the study design and analysis.
pubmed:affiliation
Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Ave., 3rd Floor, Boston, Massachusetts 02115, USA.
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural