Nonparametric population modeling and Bayesian analysis.

Tatiana Tatarinova; Roger Jelliffe; Michael Neely; Alan Schumitzky; David Bayard; Michael Van Guilder; Andreas Botnen; Aida Bustad; Derek Laing; Walter Yamada; Jay Bartroff

doi:10.1016/j.phrs.2011.04.008

Nonparametric population modeling and Bayesian analysis.

Tatiana Tatarinova, Roger Jelliffe, Michael Neely, Alan Schumitzky, David Bayard, Michael Van Guilder, Andreas Botnen, Aida Bustad, Derek Laing, Walter Yamada, Jay Bartroff

Cyfadran Cyfrifiadureg, Peirianneg a Gwyddoniaeth

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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The nonparametric (NP) population modeling approach estimated the model parameter values and predicted the observed mycophenolic acid concentrations more precisely than the parametric method did. We expect this because the NP method makes no assumptions about the shape of the model parameter distributions, as parametric methods do, and therefore obtains results that are more likely given the data.

Iaith wreiddiol	Saesneg
Cyfnodolyn	Pharmacological Research
Cyfrol	64
Rhif cyhoeddi	4
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1016/j.phrs.2011.04.008
Statws	E-gyhoeddi cyn argraffu - 23 Ebr 2011

Mynediad at Ddogfen

10.1016/j.phrs.2011.04.008

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@article{f81c1eed56074b9a97609ffb3336282f,

title = "Nonparametric population modeling and Bayesian analysis.",

abstract = "The nonparametric (NP) population modeling approach estimated the model parameter values and predicted the observed mycophenolic acid concentrations more precisely than the parametric method did. We expect this because the NP method makes no assumptions about the shape of the model parameter distributions, as parametric methods do, and therefore obtains results that are more likely given the data.",

keywords = "pharmacokinetics",

author = "Tatiana Tatarinova and Roger Jelliffe and Michael Neely and Alan Schumitzky and David Bayard and Guilder, {Michael Van} and Andreas Botnen and Aida Bustad and Derek Laing and Walter Yamada and Jay Bartroff",

year = "2011",

month = apr,

day = "23",

doi = "10.1016/j.phrs.2011.04.008",

language = "English",

volume = "64",

journal = "Pharmacological Research",

issn = "1043-6618",

publisher = "Elsevier",

number = "4",

}

TY - JOUR

T1 - Nonparametric population modeling and Bayesian analysis.

AU - Tatarinova, Tatiana

AU - Jelliffe, Roger

AU - Neely, Michael

AU - Schumitzky, Alan

AU - Bayard, David

AU - Guilder, Michael Van

AU - Botnen, Andreas

AU - Bustad, Aida

AU - Laing, Derek

AU - Yamada, Walter

AU - Bartroff, Jay

PY - 2011/4/23

Y1 - 2011/4/23

N2 - The nonparametric (NP) population modeling approach estimated the model parameter values and predicted the observed mycophenolic acid concentrations more precisely than the parametric method did. We expect this because the NP method makes no assumptions about the shape of the model parameter distributions, as parametric methods do, and therefore obtains results that are more likely given the data.

AB - The nonparametric (NP) population modeling approach estimated the model parameter values and predicted the observed mycophenolic acid concentrations more precisely than the parametric method did. We expect this because the NP method makes no assumptions about the shape of the model parameter distributions, as parametric methods do, and therefore obtains results that are more likely given the data.

KW - pharmacokinetics

U2 - 10.1016/j.phrs.2011.04.008

DO - 10.1016/j.phrs.2011.04.008

M3 - Article

C2 - 21699981

SN - 1043-6618

VL - 64

JO - Pharmacological Research

JF - Pharmacological Research

IS - 4

ER -

Nonparametric population modeling and Bayesian analysis.

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