Source:http://linkedlifedata.com/resource/pubmed/id/19159684
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
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| pubmed:dateCreated |
2009-3-2
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| pubmed:abstractText |
In NONMEM VI, a novel method exists for estimation of a nonparametric parameter distribution. The parameter distributions are approximated by discrete probability density functions at a number of parameter values (support points). The support points are obtained from the empirical Bayes estimates from a preceding parametric estimation step, run with the First Order (FO) or First Order Conditional Estimation (FOCE) methods. The purpose of this work is to evaluate this new method with respect to parameter distribution estimation.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Apr
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| pubmed:issn |
1879-0720
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| pubmed:author | |
| pubmed:issnType |
Electronic
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| pubmed:day |
11
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| pubmed:volume |
37
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
27-35
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| pubmed:meshHeading |
pubmed-meshheading:19159684-Algorithms,
pubmed-meshheading:19159684-Bayes Theorem,
pubmed-meshheading:19159684-Bias (Epidemiology),
pubmed-meshheading:19159684-Computer Simulation,
pubmed-meshheading:19159684-Likelihood Functions,
pubmed-meshheading:19159684-Models, Statistical,
pubmed-meshheading:19159684-Monte Carlo Method,
pubmed-meshheading:19159684-Nonlinear Dynamics,
pubmed-meshheading:19159684-Pharmacokinetics,
pubmed-meshheading:19159684-Probability,
pubmed-meshheading:19159684-Statistics, Nonparametric
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| pubmed:year |
2009
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| pubmed:articleTitle |
Evaluation of the nonparametric estimation method in NONMEM VI.
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| pubmed:affiliation |
Division of Pharmacokinetics and Drug Therapy, Department of Pharmaceutical Biosciences, Faculty of Pharmacy, Uppsala University, Uppsala, Sweden. Rada.Savic@farmbio.uu.se
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| pubmed:publicationType |
Journal Article
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