Linked Life Data

21125264

Source:http://linkedlifedata.com/resource/pubmed/id/21125264

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2011-2-22
pubmed:abstractText
The aim of this article was to determine the power for pharmacokinetic interaction investigations using population a pharmacokinetic modelling approach with optimal sampling designs and clinical trial simulations.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1432-1041
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
67
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
225-33
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Power estimation using a population pharmacokinetics model with optimal design by clinical trial simulations: application in pharmacokinetic drug-drug interaction studies.
pubmed:affiliation
Clinical Pharmacology Modelling and Simulation, Research & Development, GlaxoSmithKline, 1-3 Iron Bridge Road, Stockley Park West, Uxbridge, Middlesex, UB11 1BT, UK. shuying.y.yang@gsk.com
pubmed:publicationType
Journal Article