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Updated: Jan 20, 2026

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
Published on: December 3, 2020
Power Analysis and Sample Size Determination for Crossover Trials with Application to Bioequivalence Assessment of
Yong Pei Yu1, Xiao Yan Yan2, Chen Yao2
1College of Military Preventive Medicine, the Fourth Military Medical University, Xi'an 710032, Shaanxi, China.
This study presents methods for calculating sample sizes for bioequivalence trials of topical ophthalmic drugs. The derived power functions accurately estimate power and aid in determining appropriate sample sizes for crossover designs.
Area of Science:
- Pharmacokinetics and Drug Development
- Biostatistics
- Ophthalmology
Background:
- Bioequivalence assessment is crucial for generic topical ophthalmic drugs.
- Crossover designs with serial sampling are often employed.
- Accurate sample size determination is essential for trial efficiency and validity.
Purpose of the Study:
- To develop methods for sample size calculation in bioequivalence studies of topical ophthalmic drugs.
- To utilize crossover designs with serial sampling schemes.
- To provide reliable tools for sample size determination.
Main Methods:
- Derivation of power functions for Fieller-type and asymptotic confidence intervals.
- Application in crossover designs with serial-sampling data.
- Evaluation of derived power functions through simulation studies.
Main Results:
- Power functions provide precise estimates under normality and conservative estimates under log-normality.
- Intra-correlation positively impacts bioequivalence test power.
- The choice between Fieller-type and asymptotic intervals depends on the expected ratio of AUCs.
Conclusions:
- The derived Fieller-type and asymptotic power functions are suitable for determining sample sizes in crossover bioequivalence trials.
- These methods support the bioequivalence assessment of generic topical ophthalmic drugs.
- Sample size can be calculated using numerical iteration with the developed power functions.
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