(Q36627168)

15 August 2017

title

Population pharmacokinetic data and parameter estimation based on their first two statistical moments (English)

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15 August 2017

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Beal SL

1

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15 August 2017

language of work or name

English

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publication date

1 January 1984

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15 August 2017

published in

Drug Metabolism Reviews

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15 August 2017

volume

15

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15 August 2017

issue

1-2

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15 August 2017

page(s)

173-193

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The population approach to pharmacokinetic data analysis: rationale and standard data analysis methods

15 August 2017

cites work

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https://api.crossref.org/works/10.3109%2F03602538409015064

Estimation of population characteristics of pharmacokinetic parameters from routine clinical data

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

Experience with NONMEM: analysis of routine phenytoin clinical pharmacokinetic data

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

Evaluation of methods for estimating population pharmacokinetic parameters. I. Michaelis-menten model: Routine clinical pharmacokinetic data

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

Evaluation of methods for estimating population pharmacokinetic parameters II. Biexponential model and experimental pharmacokinetic data

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

Estimation of population pharmacokinetic parameters using destructively obtained experimental data: a simulation study of the one-compartment open model

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

A Note on the Generation of Random Normal Deviates

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: routine clinical pharmacokinetic data

21 January 2018

1 reference

https://api.crossref.org/works/10.3109%2F03602538409015064

10.3109/03602538409015064

21 January 2018

Identifiers

DOI

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15 August 2017

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