Bioequivalence Studies in Drug Development Methods and Applications

by ; ;
Edition: 1st
Format: Hardcover
Pub. Date: 2007-02-27
Publisher(s): WILEY
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Summary

Studies in bioequivalence are the commonly accepted method to demonstrate therapeutic equivalence between two medicinal products. Savings in time and cost are substantial when using bioequivalence as an established surrogate marker of therapeutic equivalence. For this reason the design, performance and evaluation of bioequivalence studies have received major attention from academia, the pharmaceutical industry and health authorities. Bioequivalence Studies in Drug Development focuses on the planning, conducting, analysing and reporting of bioequivalence studies, covering all aspects required by regulatory authorities. This text presents the required statistical methods, and with an outstanding practical emphasis, demonstrates their applications through numerous examples using real data from drug development. Includes all the necessary pharmacokinetic background information. Presents parametric and nonparametric statistical techniques. Describes adequate methods for power and sample size determination. Includes appropriate presentation of results from bioequivalence studies. Provides a practical overview of the design and analysis of bioequivalence studies. Presents the recent developments in methodology, including population and individual bioequivalence. Reviews the regulatory guidelines for such studies, and the existing global discrepancies. Discusses the designs and analyses of drug-drug and food-drug interaction studies. Bioequivalence Studies in Drug Development is written in an accessible style that makes it ideal for pharmaceutical scientists, clinical pharmacologists, and medical practitioners, as well as biometricians working in the pharmaceutical industry. It will also be of great value for professionals from regulatory bodies assessing bioequivalence studies.

Author Biography

Dieter Hauschke, ALTANA Pharma, Konstanz, Germany. Well-respected statistician working in the pharmaceutical industry, specializing in bioequivalence studies, with over 60 publications in leading journals.

Volker Steinijans, ALTANA Pharma, Konstanz, Germany. Head of the Department of Biometry and Clinical Data Management at ALTANA.

Iris Pigeot, Institute for Statistics, University of Bremen, Germany. Has over 50 published papers, and also written a number of books in German.

Table of Contents

Prefacep. xiii
Introductionp. 1
Definitionsp. 1
Bioavailabilityp. 2
Bioequivalencep. 2
Therapeutic equivalencep. 3
When are bioequivalence studies performedp. 4
Applications for products containing new active substancesp. 4
Applications for products containing approved active substancesp. 4
Applications for modified release forms essentially similar to a marketed modified release formp. 4
Design and conduct of bioequivalence studiesp. 5
Crossover design and alternativesp. 5
Single- vs. multiple-dose studiesp. 6
Pharmacokinetic characteristicsp. 6
Subjectsp. 7
Statistical modelsp. 8
Average bioequivalencep. 8
Population bioequivalencep. 9
Individual bioequivalencep. 11
Sample sizep. 12
Aims and structure of the bookp. 14
Referencesp. 15
Metrics to characterize concentration-time profiles in single- and multiple-dose bioequivalence studiesp. 17
Introductionp. 17
Pharmacokinetic characteristics (metrics) for single-dose studiesp. 20
Extent of bioavailabilityp. 20
Rate of bioavailabilityp. 24
Pharmacokinetic rate and extent characteristics (metrics) for multiple-dose studiesp. 26
Conclusionsp. 34
Referencesp. 34
Basic statistical considerationsp. 37
Introductionp. 37
Additive and multiplicative modelp. 38
The normal distributionp. 38
The lognormal distributionp. 41
Hypotheses testingp. 44
Consumer and producer riskp. 44
Types of hypothesesp. 46
Test for differencep. 47
Test for superiorityp. 47
Test for noninferiorityp. 48
Test for equivalencep. 49
Difference versus ratio of expected meansp. 51
The normal distributionp. 51
The lognormal distributionp. 53
The RT/TR crossover design assuming an additive modelp. 55
Additive model and effectsp. 55
Parametric analysis based on t-testsp. 56
Test for difference in carryover effectsp. 59
Test for difference in formulation effectsp. 60
Test for difference in period effectsp. 63
Nonparametric analysis based on Wilcoxon rank sum testsp. 65
Test for difference in carryover effectsp. 65
Test for difference in formulation effectsp. 66
Test for difference in period effectsp. 67
Referencesp. 68
Assessment of average bioequivalence in the RT/TR designp. 69
Introductionp. 69
The RT/TR crossover design assuming a multiplicative modelp. 72
Multiplicative model and effectsp. 73
Test problemp. 75
Estimation of the formulation differencep. 77
Test procedures for bioequivalence assessmentp. 80
Analysis of variancep. 80
Example: Dose equivalence studyp. 84
Two one-sided t-tests and (1 - 2[alpha]) 100% confidence intervalp. 89
Example: Dose equivalence studyp. 91
Two one-sided Wilcoxon rank sum tests and (1 - 2[alpha]) 100% confidence intervalp. 94
Example: Dose equivalence studyp. 96
Analysis of time to maximum concentrationp. 97
Bioequivalence rangesp. 101
Conclusionsp. 103
Referencesp. 103
Power and sample size determination for testing average bioequivalence in the RT/TR designp. 105
Introductionp. 105
Challenging the classical approachp. 106
Exact power and sample size calculationp. 109
Modified acceptance rangesp. 112
Approximate formulas for sample size calculationp. 114
Exact power and sample size calculation by nQueryp. 117
Appendixp. 120
Referencesp. 121
Presentation of bioequivalence studiesp. 123
Introductionp. 123
Results from a single-dose studyp. 124
Results from a multiple-dose studyp. 140
Conclusionsp. 152
Referencesp. 154
Designs with more than two formulationsp. 157
Introductionp. 157
Williams designsp. 158
Example: Dose linearity studyp. 159
Multiplicityp. 161
Joint decision rulep. 165
Multiple decision rulep. 171
Conclusionsp. 172
Referencesp. 172
Analysis of pharmacokinetic interactionsp. 175
Introductionp. 175
Pharmacokinetic drug-drug interaction studiesp. 178
Absorptionp. 178
Distributionp. 178
Eliminationp. 178
Metabolismp. 179
Metabolic inductionp. 179
Metabolic inhibitionp. 181
Change of blood flowp. 182
Renal excretionp. 182
Hepatic/biliary excretionp. 183
Experimental design of in vivo drug-drug interaction studiesp. 183
Examples to illustrate drug-drug interactions and the lack thereofp. 184
Pharmacokinetic characteristics for extent of absorption and clearance in drug-drug interaction studiesp. 187
Theoretical background on AUC as a composite measure of absorption and clearancep. 190
Examples to illustrate the composite character of AUCp. 192
Recommendation for subsequent analysesp. 193
Pharmacokinetic food-drug interactionsp. 194
Classification of food effectsp. 194
Experimental design of food-drug interaction studiesp. 196
Example: Theophylline food interaction studyp. 197
Goal posts for pharmacokinetic drug interaction studies including no effect boundariesp. 197
Labelingp. 199
Conclusionsp. 200
Referencesp. 200
Population and individual bioequivalencep. 205
Introductionp. 205
Brief historyp. 208
Study designs and statistical modelsp. 210
Classical two-period, two-sequence crossover designp. 210
Replicate designsp. 210
Additive modelp. 212
Basic concepts of aggregate measuresp. 213
Example: The antihypertensive patch datasetp. 215
Population bioequivalencep. 217
Moment-based criteriap. 217
Statistical proceduresp. 219
The bootstrap procedurep. 219
A parametric confidence intervalp. 220
Probability-based criteriap. 225
Statistical proceduresp. 225
A distribution-free approachp. 225
A parametric approachp. 228
Individual bioequivalencep. 230
Moment-based criteriap. 230
Statistical proceduresp. 232
The bootstrap procedurep. 232
A parametric confidence intervalp. 233
Probability-based criteriap. 236
Statistical proceduresp. 236
A distribution-free approachp. 237
A parametric approachp. 239
Test for individual equivalence ratio (TIER)p. 241
Relationships between aggregate bioequivalence criteriap. 243
Drawbacks of aggregate measuresp. 245
Disaggregate criteriap. 246
Stepwise procedure on the original scalep. 246
Stepwise procedure on the logarithmic scalep. 253
Other approachesp. 255
Trimmed Mallows distancep. 255
Kullback-Leibler divergencep. 256
Structural equation modelp. 257
Average bioequivalence in replicate designsp. 258
Example: The antihypertensive patch datasetp. 259
Conclusionsp. 278
Referencesp. 280
Equivalence assessment for clinical endpointsp. 283
Introductionp. 283
Design and testing procedurep. 285
Parallel group designp. 285
Crossover designp. 287
Power and sample size calculationp. 289
Parallel group designp. 289
Crossover designp. 292
Approximate formulas for sample size calculationp. 297
Exact power and sample size calculation by nQueryp. 302
Conclusionsp. 303
Appendixp. 304
Referencesp. 305
Indexp. 307
Table of Contents provided by Ingram. All Rights Reserved.

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