Linked Life Data

19397580

Source:http://linkedlifedata.com/resource/pubmed/id/19397580

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-5-24
pubmed:abstractText
In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting information about the model parameters. We describe a modeling framework that allows us to synthesize this conflicting information and arrive at a consensus inference. In particular, we show how random effects can be incorporated into the model to account for between-individual heterogeneity that may be the source of the apparent conflict.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1541-0420
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
66
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
249-56
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Bayesian calibration of a stochastic kinetic computer model using multiple data sources.
pubmed:affiliation
School of Mathematics & Statistics, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.K. d.a.henderson@ncl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't