Abstract
In order to fulfill the requirement of a new drug application, a sponsor needs to conduct randomized clinical trials to demonstrate that the test treatment is effective. With placebo control in the clinical trial, efficacy of the test treatment is demonstrated by showing that the test treatment is statistically and clinically superior to placebo. Clinical trials designed with the objective to demonstrate the test treatment is noninferior or equivalent to the active control treatment have long history been applied in drug development for generic and some specific products. On the other hand, due to the ethical concern of exposing patients to placebo when there are proven therapeutic methods available, many of the clinical trials can only be designed with approved active control treatment. Because of the lack of placebo exposure in the current clinical trial, neither sponsor nor the regulatory reviewer can assess whether the test treatment is superior to placebo directly. When the concept of noninferiority and equivalence of bioequivalence trials is applied to this type of trials, it leads to the complication and indirectness to the efficacy assessment of the test treatment (superior to placebo). This chapter discusses the fundamental concepts of noninferiority and equivalence testing applied in generic and some specific drug products and how they be extended in the application for the interpretation for “test treatment is superior to placebo” assessment. We will discuss also why it makes the drug efficacy evaluation so complicated with such an application. Limitations and strength of evidence of using noninferiority or equivalence testing for efficacy evaluation will also be discussed.
This chapter does not represent the official position of the Food and Drug Administration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Committee for Medicine Products for Human (CHMP) (2005) Guidance on the choice of the non-inferiority margin. European Medicines Agency CPMP/EWP/2158/99 (\url{http://www.emea.eu.int/pdfs/human/ewp/215899en.pdf})
Chen L, Tsong Y (2007). Design and analysis for drug abuse potential studies: Issues and strategies for implementing a crossover design. Drug Information J. 41:481–489.
D’Agostino RB, Massaro JM, Sullivan LM (2003) Non-inferiority trials: design concepts and issues – the encounters of academic consultants in statistics. Stat Med 22:169–186
Ellenberg SS, Temple R (2000) Placebo-controlled trials and active controlled trials in the evaluation of new treatment. Part 2: practical issues and scientific issues. Ann Intern Med 133:455–463
Farrington CP, Manning G (1990) Test statistics and sample size formulae for comparative binomial trials with null hypothesis of non-zero risk difference or non-unity relative risk. Stat Med 9:1447–1454
Hauck WW, Anderson S (1999) Some issues in the design and analysis of equivalence trials. Drug Info J 33:109–118
Hauschke D, Kieser M, Diletti E, Burke M (1999) Sample size determination for proving equivalence based on the ratio of two means for normally distributed data Stat Med 18:93–105
Holmgren EB (1999) Establishing equivalence by showing that a prespecified percentage of the effect of the active control over placebo is maintained. J Biopharm Stat 9:651–659
Hung H-MJ, Wang S-J, Tsong Y, Lawrence J, O’Neill RT (2003) Some fundamental issues for non-inferiority testing in active controlled trials. Stat Med 22:213–225
ICH (2005) ICH E14 guidance on the clinical evaluation of qt/qtc interval prolongation and proarrythmic potential for n on-antiarrythmic drugs. In: International Conference Harmonization, Geneva, Switzerland, May 2005
Morikawa T, Yoshida M (1995) A useful testing strategy in phase III trials: Combined test of superiority and test of equivalence. J Biopharm Stat 5:297–306
Pigeot I, Schäfer J, Röhmel J Hauschke D (2003) Assessing non-inferiority of a new treatment in a three-arm clinical trial including a placebo. Stat Med 22:883–899
Schuirmann DJ (1987) A comparison of the two one-sided tests procedures and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm 15:657–680
Snapinn SM (2004) Alternatives of discounting in the analysis of non-inferiority trials. J Biopharm Stat 14:263–273
Temple R, Ellenberg SS (2000) Placebo-controlled trials and active-control trials in the evaluation of new treatments - Part 1: Ethical and Scientific Issues, Part 2: ethical and scientific issues. Ann Intern Med 133:455–463
Tsong Y, Zhang JJ (2005) Testing superiority and non-inferiority hypotheses in active controlled clinical trials. Biometrical J 47(1):62–74
Tsong Y, Zhang JJ (2007) Simultaneous test for superiority and non-inferiority hypotheses in active controlled clinical trials. To appear in J. Biopharm. Statist
Tsong Y, Levenson M, Zhang J (2007) Choice of λ and the dependence of non-inferiority active controlled clinical trials. To appear in Statistics in Medicine
Tsong Y, Wang S-J, Hung H-MJ (2003) Statistical issues in objectives, designs and analysis of non-inferiority test active controlled clinical trials. J Biopharm Stat 13:29–41
Tsong Y, Zhang J, Levenson M (2007) Choice of δ and the dependence of non-inferiority active controlled clinical trials. To appear in Biometrical J
Tsong Y, Zhang J, Wang S-J (2004) Group sequential design and analysis of clinical equivalence assessment for generic non-systemic drug products. J Biopharm Stat 14:359–373
Tsong Y, Higgins K, Wang S-J, Hung H-MJ (1999) An overview of equivalence testing - CDER reviewers’ perspective. In: Proceedings of the Biophar. Section, Joint Stat. Meetings, Am. Stat. Assoc, pp 214–219
Zhang J, Machado SG (2008) Statistical issues including design and sample size calculation in thorough Qt/Qtc studies. J Biopharm Stat 18(3):451–467
Zhang L, Dmitrienko A, Luta G (2008) Sample size calculation in thorough qt/qtc studies. J Biopharm Stat 18(3):468–493
Acknowledgements
The authors want to acknowledge the contributions of many coauthors involved in the many collaborative works and the colleagues provided important information and examples gathered from their review experiences. This article is the fruit of all the collaborative works. The materials presented in this article are also part of the materials that the authors used in the preparation of a short course offered at the Applied Statistics Symposium in 2006, Korea Food and Drug Administration, and joint Statistical Meeting in 2009. The second International Pharmaceutical statistics Workshop sponsored by China East Normal University in 2012. For that we want to thank International Chinese Statistic Association, Korea Food and Drug Administration, China East normal University, and American Statistical Association for sponsoring the short courses. Last but certainly not the least, the contributions of two editors of the book and the referees of the manuscript should be acknowledged. Without their careful reading, comment, and questions, the manuscript would not be as complete and readable.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media New York
About this chapter
Cite this chapter
Tsong, Y., Zhang, J. (2012). Active-Controlled Clinical Trials. In: Tang, W., Tu, X. (eds) Modern Clinical Trial Analysis. Applied Bioinformatics and Biostatistics in Cancer Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4322-3_7
Download citation
DOI: https://doi.org/10.1007/978-1-4614-4322-3_7
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4321-6
Online ISBN: 978-1-4614-4322-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)