In vitro-in vivo relationships for oral extended-release drug products

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17 Scopus citations

Abstract

It is of interest to predict the in vivo behavior of an oral extended- release drug product based on its in vitro dissolution profile. In some cases a suitable convolution-based prediction model cart be found. We present a methodology for developing statistical models of in vitro-in vivo relationships under the framework of the mixed-effects nonlinear model and discuss methods for assessing the validity and strength of the relationship. These methods are illustrated and contrasted with a level A in vitro-in vivo correlation using data from a study involving four different formulations of an oral extended-release drug product.

Original languageEnglish (US)
Pages (from-to)565-578
Number of pages14
JournalJournal of Biopharmaceutical Statistics
Volume7
Issue number4
DOIs
StatePublished - Jan 1 1997

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

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