Linked Life Data

10473031

Source:http://linkedlifedata.com/resource/pubmed/id/10473031

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1999-10-18
pubmed:abstractText
The extent of drug availability is often measured by the area under the concentration-time curve. In animal studies, experimental constraints can limit the number of observations available on each animal. Estimation of area under the curve and its standard error are straightforward when each animal is measured at each time point. Bailer and Nedelman et al., have described techniques for estimating the area under the curve and its standard error when each animal is measured once. Yeh has described a technique for the hybrid case where animals are measured more than once, but not at all time points. We describe a method for estimating area under the curve and its standard error which is applicable to all three types of designs. We give formulas for testing treatment differences, including dose trends and dose proportionality, in area under the curve for designs containing an arbitrary number of treatments. A jackknife estimator is also described.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1054-3406
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
451-64
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
A method for estimating and testing area under the curve in serial sacrifice, batch, and complete data designs.
pubmed:affiliation
Biometrics Research, Merck Research Laboratories, West Point, Pennsylvania 19486, USA.
pubmed:publicationType
Journal Article