Related Experiment Video
Updated: Oct 11, 2025

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis
Published on: May 4, 2017
Innovative Design and Analysis for PK/PD Biosimilar Bridging Studies with Multiple References
Fuyu Song1,2, Xin Zheng3, Yujia Wang4
1Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Beijing, China.
Innovative statistical designs for pharmacokinetic/pharmacodynamic (PK/PD) biosimilar bridging studies are proposed. These methods aim to streamline regulatory submissions by bridging clinical data between regions, potentially avoiding duplicate trials.
Area of Science:
- Pharmacokinetics and Pharmacodynamics
- Biostatistics
- Regulatory Science
Background:
- Biosimilar regulatory submissions often require bridging clinical data between regions when multiple reference products exist.
- Pharmacokinetic/pharmacodynamic (PK/PD) bridging studies are crucial for leveraging existing clinical data and avoiding redundant trials.
- Ethnic considerations between regions are important for the validity of bridging studies.
Purpose of the Study:
- To propose innovative statistical designs for PK/PD biosimilar bridging studies.
- To investigate statistical models and methods applicable to these novel designs.
- To provide power analysis for sample size determination using established procedures.
Main Methods:
- Development of novel statistical designs for PK/PD biosimilar bridging studies.
- Application of statistical modeling and methods to the proposed designs.
- Power analysis using Schuirmann's two one-sided tests procedure.
- Comparative analysis with pairwise testing via simulation.
Main Results:
- Proposed innovative statistical designs for PK/PD biosimilar bridging studies.
- Statistical models and methods evaluated for the proposed designs.
- Power analysis derived and compared to existing methods through simulation.
Conclusions:
- The proposed statistical designs offer innovative approaches for PK/PD biosimilar bridging studies.
- The study provides a framework for statistical modeling and power analysis in this context.
- These methods support efficient biosimilar regulatory submissions by bridging clinical data across regions.
More Related Videos
08:31Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
07:40A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Related Concept Videos
Drug Products: Biologics, Biosimilars and Interchangeables
Bioavailability Study Design: Single Versus Multiple Dose Studies
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
Bioequivalence studies: Biowaivers
Biopharmaceutical Factors Influencing Drug Product Design: Overview