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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Bibliographic Details
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
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
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
Online AccessGet full text
ISSN0939-6411
1873-3441
DOI10.1016/S0939-6411(01)00214-4

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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0939-6411
1873-3441
DOI:10.1016/S0939-6411(01)00214-4