Equivalence Testing

Ton J. Cleophas, Aeilko H. Zwinderman and Toine F. Cleophas
Additional contact information
Ton J. Cleophas: European Interuniversity College of Pharmaceutical Medicine Lyon
Aeilko H. Zwinderman: European Interuniversity College of Pharmaceutical Medicine Lyon
Toine F. Cleophas: Technical University

Chapter Chapter 4 in Statistics Applied to Clinical Trials, 2002, pp 47-52 from Springer

Abstract: Abstract A study unable to find a difference is not the same as an equivalent study. For example, a study of 3 subjects does not find a significant difference simply because the sample size is too small. Equivalence testing is particularly important for studying the treatment of diseases for which a placebo control would unethical. In the situation a new treatment must be compared with standard treatment. The latter comparison is at risk of finding little differences.

Keywords: Equivalence Study; Placebo Control; Equivalence Testing; Equivalence Trial; Equivalence Range (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-010-0337-7_4

Ordering information: This item can be ordered from
http://www.springer.com/9789401003377

DOI: 10.1007/978-94-010-0337-7_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().