Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: I. principles and some general algorithms

Most computations in the field of in vitro/in vivo correlations can be handled directly by Excel worksheets, without the need for specialized software. Following a summary of Excel features, applications are illustrated for numerical computation of AUC and Mean, Wagner–Nelson and Loo–Riegelman absor...

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Published inEuropean journal of pharmaceutics and biopharmaceutics Vol. 53; no. 1; pp. 1 - 7
Main Author Langenbucher, Frieder
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 2002
Elsevier Science
Subjects
Online AccessGet full text
ISSN0939-6411
1873-3441
DOI10.1016/S0939-6411(01)00214-4

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Abstract Most computations in the field of in vitro/in vivo correlations can be handled directly by Excel worksheets, without the need for specialized software. Following a summary of Excel features, applications are illustrated for numerical computation of AUC and Mean, Wagner–Nelson and Loo–Riegelman absorption plots, and polyexponential curve fitting.
AbstractList Most computations in the field of in vitro/in vivo correlations can be handled directly by Excel worksheets, without the need for specialized software. Following a summary of Excel features, applications are illustrated for numerical computation of AUC and Mean, Wagner–Nelson and Loo–Riegelman absorption plots, and polyexponential curve fitting.
Most computations in the field of in vitro/in vivo correlations can be handled directly by Excel worksheets, without the need for specialized software. Following a summary of Excel features, applications are illustrated for numerical computation of AUC and Mean, Wagner-Nelson and Loo-Riegelman absorption plots, and polyexponential curve fitting.Most computations in the field of in vitro/in vivo correlations can be handled directly by Excel worksheets, without the need for specialized software. Following a summary of Excel features, applications are illustrated for numerical computation of AUC and Mean, Wagner-Nelson and Loo-Riegelman absorption plots, and polyexponential curve fitting.
Author Langenbucher, Frieder
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Cites_doi 10.1002/jps.2600570602
10.1002/jps.2600740724
10.1002/jps.2600720738
10.1002/jps.2600520629
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Issue 1
Keywords Mean
Excel
SAS
WinNonlin
In vitro/in vivo correlations
Kinetica
Moments
Correlation in vitro/in vivo
Wagner–Nelson
Loo–Riegelman
AUC
Mathematical function
Mathematical formula
In vivo
Correlation
Investigation method
Mathematical analysis
Computer
Software
Pharmacokinetics
In vitro
Computing method
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SubjectTerms Algorithms
AUC
Biological and medical sciences
Correlation in vitro/in vivo
Excel
General pharmacology
In vitro/in vivo correlations
Kinetica
Loo–Riegelman
Mathematical Computing
Mean
Medical sciences
Models, Statistical
Moments
Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions
Pharmacology. Drug treatments
SAS
Software - statistics & numerical data
Wagner–Nelson
WinNonlin
Title Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: I. principles and some general algorithms
URI https://dx.doi.org/10.1016/S0939-6411(01)00214-4
https://www.ncbi.nlm.nih.gov/pubmed/11777746
https://www.proquest.com/docview/71353273
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