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Design and Analysis of Bridging Studies





ISBN 9780367576745
Published June 30, 2020 by Chapman and Hall/CRC
287 Pages

 
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Book Description

As the development of medicines has become more globalized, the geographic variations in the efficacy and safety of pharmaceutical products need to be addressed. To accelerate the product development process and shorten approval time, researchers are beginning to design multiregional trials that incorporate subjects from many countries around the world under the same protocol.



Design and Analysis of Bridging Studies addresses the issues arising from bridging studies and multiregional clinical trials. For bridging studies, the book explores ethnic sensitivity, the necessity of bridging studies, types of bridging studies, and the assessment of similarity between regions based on bridging evidence. For multiregional clinical trials, the text considers regional differences, assesses the consistency of treatment effect across regions, and discusses sample size determination for each region.





Taking into account the International Conference Harmonisation (ICH) E5 framework for bridging studies, the book provides a unified summary of the growing literature and research activities in this area. It covers the regulatory requirements, scientific and practical issues, and statistical methodology for designing and evaluating bridging studies and multiregional clinical trials, with the goal of inspiring new research activities in the field.

Table of Contents

Bridging Diversity: Extrapolating Foreign Data to a New Region. Two-Stage Designs of Bridging Studies. Consistency of Treatment Effects in Bridging Studies and Global Multiregional Trials. Assessing Similarity Using the Reproducibility and Generalizability Probabilities and the Sensitivity Index. Combining Information in Clinical Drug Development: Bridging Studies and Beyond. A Bayesian Approach for Evaluation of Bridging Studies. Issues of Sample Size in Bridging Trials and Global Clinical Trials. Design and Sample Size Considerations for Global Trials. Application of Genomic Technologies for Bridging Strategy Involving Different Race and Ethnicity in Pharmacogenomics Clinical Trials. Interaction Effects in Bridging Studies. Multiregional Clinical Trials. Multiregional Clinical Trials for Global Simultaneous Drug Development in Japan. Feasibility and Implementation of Bridging Studies in Taiwan. Index.

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Editor(s)

Biography

Jen-pei Liu is a professor in the Division of Biometry, Department of Agronomy, and Institute of Epidemiology and Preventative Medicine at National Taiwan University. He is also an adjunct investigator in the Institute of Population Health Sciences at the National Health Research Institutes in Taiwan. A fellow of the ASA, Dr. Liu is an associate editor of the Journal of Biopharmaceutical Statistics and an editor of the Chapman & Hall/CRC Biostatistics Series. He has authored ten books, over 120 peer-reviewed research articles, and over 40 book chapters. His research interests include statistical methodology in bioequivalence evaluation, clinical trials, equivalence and noninferiority testing, bridging testing, statistical quality control in biopharmaceutical products, diagnostic testing, statistical QA/QC for biochip diagnostic products, and evaluation of substantial equivalence in GMO crops and food.



Shein-Chung Chow is a professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. Dr. Chow is also a professor of clinical sciences at Duke–National University of Singapore Graduate Medical School. He is the editor-in-chief of the Journal of Biopharmaceutical Statistics and editor-in-chief of the Chapman & Hall/CRC Biostatistics Series. He has authored or co-authored over 200 papers and 19 books, including Adaptive Design Methods in Clinical Trials, Second Edition, Handbook of Adaptive Designs in Pharmaceutical and Clinical Development, and Controversial Statistical Issues in Clinical Trials. A fellow of the ASA and member of the ISI, Dr. Chow has received the ASA Chapter Service Recognition Award, the DIA Outstanding Service Award, and the ICSA Extraordinary Achievement Award.



Chin-Fu Hsiao is an investigator in the Institute of Population Health Sciences at the National Health Research Institutes in Taiwan. Dr. Hsiao is also an adjunct associate professor at National Chiao Tung University. His research interests encompass Bayesian analysis, clinical trials, and genetic study.