Literature DB >> 1287202

Sample size determination for bioequivalence assessment using a multiplicative model.

D Hauschke1, V W Steinijans, E Diletti, M Burke.   

Abstract

In bioequivalence studies Cmax and AUC serve as the primary pharmacokinetic characteristics of rate and extent of absorption. Based on pharmacokinetic relationships and on empirical evidence, the distribution of these characteristics corresponds to a multiplicative model, which implies a logarithmic normal distribution in the case of a parametric analysis. Hence, consideration is given to exact and approximate formulas of sample sizes in the case of a multiplicative model.

Mesh:

Year:  1992        PMID: 1287202     DOI: 10.1007/bf01061471

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  7 in total

1.  Sample size determination for bioequivalence assessment by means of confidence intervals.

Authors:  E Diletti; D Hauschke; V W Steinijans
Journal:  Int J Clin Pharmacol Ther Toxicol       Date:  1991-01

2.  Sample size determination for the two one-sided tests procedure in bioequivalence.

Authors:  J P Liu; S C Chow
Journal:  J Pharmacokinet Biopharm       Date:  1992-02

Review 3.  Types of bioequivalence and related statistical considerations.

Authors:  W W Hauck; S Anderson
Journal:  Int J Clin Pharmacol Ther Toxicol       Date:  1992-05

Review 4.  Controversies in bioequivalence studies.

Authors:  V W Steinijans; D Hauschke; J H Jonkman
Journal:  Clin Pharmacokinet       Date:  1992-04       Impact factor: 6.447

5.  Estimation of direct formulation effect under log-normal distribution in bioavailability/bioequivalence studies.

Authors:  J P Liu; C S Weng
Journal:  Stat Med       Date:  1992-05       Impact factor: 2.373

6.  Power of the two one-sided tests procedure in bioequivalence.

Authors:  K F Phillips
Journal:  J Pharmacokinet Biopharm       Date:  1990-04

7.  A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability.

Authors:  D J Schuirmann
Journal:  J Pharmacokinet Biopharm       Date:  1987-12
  7 in total
  15 in total

1.  Sample size calculation in bioequivalence trials.

Authors:  Peter Blood
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-02       Impact factor: 2.745

2.  A note on sample size calculation in bioequivalence trials.

Authors:  Dieter Hauschke
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-02       Impact factor: 2.745

3.  Acceptability and characteristics of 124 human bioequivalence studies with active substances classified according to the Biopharmaceutic Classification System.

Authors:  Elena Ramirez; Olga Laosa; Pedro Guerra; Blanca Duque; Beatriz Mosquera; Alberto M Borobia; Suhua H Lei; Antonio J Carcas; Jesus Frias
Journal:  Br J Clin Pharmacol       Date:  2010-11       Impact factor: 4.335

4.  A note on sample size determination for bioequivalence studies with high-order crossover designs.

Authors:  K W Chen; S C Chow; G Li
Journal:  J Pharmacokinet Biopharm       Date:  1997-12

5.  An approach for widening the bioequivalence acceptance limits in the case of highly variable drugs.

Authors:  A W Boddy; F C Snikeris; R O Kringle; G C Wei; J A Oppermann; K K Midha
Journal:  Pharm Res       Date:  1995-12       Impact factor: 4.200

6.  Group sequential extensions of a standard bioequivalence testing procedure.

Authors:  A L Gould
Journal:  J Pharmacokinet Biopharm       Date:  1995-02

7.  Evaluation of bioequivalence between clozapine suspension and tablet formulations : a multiple-dose, fed and fasted study.

Authors:  Paul Glue; Christopher Gale; David B Menkes; Noelyn Hung
Journal:  Clin Drug Investig       Date:  2012-11       Impact factor: 2.859

8.  The basel cocktail for simultaneous phenotyping of human cytochrome P450 isoforms in plasma, saliva and dried blood spots.

Authors:  Massimiliano Donzelli; Adrian Derungs; Maria-Giovanna Serratore; Christoph Noppen; Lana Nezic; Stephan Krähenbühl; Manuel Haschke
Journal:  Clin Pharmacokinet       Date:  2014-03       Impact factor: 6.447

9.  Bioavailability and Bioequivalence in Drug Development.

Authors:  Shein-Chung Chow
Journal:  Wiley Interdiscip Rev Comput Stat       Date:  2014

10.  High variability in drug pharmacokinetics complicates determination of bioequivalence: experience with verapamil.

Authors:  Y C Tsang; R Pop; P Gordon; J Hems; M Spino
Journal:  Pharm Res       Date:  1996-06       Impact factor: 4.200

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