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Related Experiment Videos

A note on statistical methods for assessing therapeutic equivalence.

Shein-Chung Chow1, Jun Shao

  • 1Statplus, Inc, Heston Hall, Yardley, PA, USA.

Controlled Clinical Trials
|October 24, 2002
PubMed
Summary
This summary is machine-generated.

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This study clarifies statistical approaches for therapeutic and bioequivalence testing. It explains that while 1-alpha confidence intervals yield alpha-level tests, their actual size may be smaller, and 1-2alpha intervals often fail to ensure alpha-level testing.

Area of Science:

  • Biostatistics
  • Pharmacokinetics
  • Clinical Trials

Background:

  • Therapeutic equivalence and bioequivalence are commonly assessed using two one-sided tests (TOST) and confidence interval (CI) approaches.
  • Confusion exists regarding the relationship between these methods and appropriate CI selection.

Purpose of the Study:

  • To clarify the distinctions and relationships between the TOST and CI approaches for equivalence testing.
  • To address specific questions regarding the alpha level and choice of confidence intervals.

Main Methods:

  • The study analyzes the statistical properties of tests derived from confidence interval approaches.
  • It evaluates the test sizes produced by different confidence intervals.

Main Results:

Related Experiment Videos

  • Using (1-alpha) confidence intervals results in tests of level alpha, but their actual sizes can be less than alpha.
  • Employing (1-2alpha) confidence intervals generally does not guarantee tests of level alpha, with some exceptions.

Conclusions:

  • The choice of confidence interval significantly impacts the properties of equivalence tests.
  • Understanding these nuances is crucial for accurate therapeutic and bioequivalence assessment.