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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Pharmaceu...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Pharmaceutical Sciences
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A Comparison of the Prediction Accuracy of Two IVIVC Modelling Techniques

Authors: Clare, Gaynor; Adrian, Dunne; John, Davis;

A Comparison of the Prediction Accuracy of Two IVIVC Modelling Techniques

Abstract

The goal when developing an in vitro-in vivo correlation (IVIVC) model is the ability to accurately predict the in vivo plasma concentration profile of a drug formulation using only its in vitro dissolution data. The prediction accuracy of any model depends on the reliability of the method used to develop it. Some statistical concerns regarding methods based on deconvolution have been highlighted and a convolution based technique has been proposed as an alternative. This comparison shows, by means of a simulation study, that the modelling approach which uses convolution produces far more accurate results, accurately predicting the observed plasma concentration-time profile and, therefore, comfortably meeting the FDA validation criteria. The fact that the model developed using the deconvolution based technique fails to describe the simulated data and thus fails the FDA validation test when it ought to pass should be of great concern to those currently implementing this method.

Related Organizations
Keywords

Solubility, United States Food and Drug Administration, Reproducibility of Results, Pharmacokinetics, Models, Theoretical, United States

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
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