
Analytical Similarity Assessment in Biosimilar Product Development
Shein-Chung Chow(Author)
CRC Press
1st Edition
Published on 1. August 2018
Book
Hardback
340 pages
978-1-138-30733-9 (ISBN)
Description
This book focuses on analytical similarity assessment in biosimilar product development following the FDA's recommended stepwise approach for obtaining totality-of-the-evidence for approval of biosimilar products. It covers concepts such as the tiered approach for assessment of similarity of critical quality attributes in the manufacturing process of biosimilar products, models/methods like the statistical model for classification of critical quality attributes, equivalence tests for critical quality attributes in Tier 1 and the corresponding sample size requirements, current issues, and recent developments in analytical similarity assessment.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
70 s/w Tabellen
70 Tables, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
646 gr
ISBN-13
978-1-138-30733-9 (9781138307339)
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Analytical Similarity Assessment in Biosimilar Product Development
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1st Edition
Chapman & Hall/CRC
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Analytical Similarity Assessment in Biosimilar Product Development
E-Book
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Shein-Chung Chow
Analytical Similarity Assessment in Biosimilar Product Development
E-Book
09/2018
Chapman & Hall/CRC
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Available for download
Person
Author
Shein-Chung Chow, Ph.D, is currently an Associate Director at Office of
Biostatistics, Center for Drug Evaluation and Research, United States Food
and Drug Administration (FDA). Prior to joining FDA, Dr. Chow was a
Professor at Duke University School of Medicine, Durham, NC. He was
also a special government employee (SGE) appointed by the FDA as an
Advisory Committee member and statistical advisor to the FDA. Prior to
that, Dr. Chow also held various positions in the pharmaceutical industry
such as Vice President at Millennium, Cambridge, MA, Executive Director at
Covance, Princeton, NJ, and Director and Department Head at Bristol-Myers
Squibb, Plainsboro, NJ. Dr. Chow is the Editor-in-Chief of the Journal of
Biopharmaceutical Statistics and the Editor-in-Chief of the Biostatistics Book Series
at Chapman and Hall/CRC Press, Taylor & Francis Group. He was elected
Fellow of the American Statistical Association and an elected member of the
ISI (International Statistical Institute). Dr. Chow is the author or co-author of
over 300 methodology papers and 29 books including Designs and Analysis
of Bioavailability and Bioequivalence Studies, Sample Size Calculations in Clinical
Research, Adaptive Design Methods in Clinical Trials, Translational Medicine,
Design and Analysis of Clinical Trials, and Quantitative Methods for Traditional
Chinese Medicine Development.
Shein-Chung Chow, Ph.D, is currently an Associate Director at Office of
Biostatistics, Center for Drug Evaluation and Research, United States Food
and Drug Administration (FDA). Prior to joining FDA, Dr. Chow was a
Professor at Duke University School of Medicine, Durham, NC. He was
also a special government employee (SGE) appointed by the FDA as an
Advisory Committee member and statistical advisor to the FDA. Prior to
that, Dr. Chow also held various positions in the pharmaceutical industry
such as Vice President at Millennium, Cambridge, MA, Executive Director at
Covance, Princeton, NJ, and Director and Department Head at Bristol-Myers
Squibb, Plainsboro, NJ. Dr. Chow is the Editor-in-Chief of the Journal of
Biopharmaceutical Statistics and the Editor-in-Chief of the Biostatistics Book Series
at Chapman and Hall/CRC Press, Taylor & Francis Group. He was elected
Fellow of the American Statistical Association and an elected member of the
ISI (International Statistical Institute). Dr. Chow is the author or co-author of
over 300 methodology papers and 29 books including Designs and Analysis
of Bioavailability and Bioequivalence Studies, Sample Size Calculations in Clinical
Research, Adaptive Design Methods in Clinical Trials, Translational Medicine,
Design and Analysis of Clinical Trials, and Quantitative Methods for Traditional
Chinese Medicine Development.
Content
1.1 Background 1.2 Past Experience for In Vitro Bioequivalence Testing 1.2.1 Study Design and Data Collection 1.2.2 Bioequivalence Limit 1.2.3 Statistical Methods 1.2.4 Sample Size Requirement 1.3 Analytical Similarity Assessment 1.3.1 Tier 1 Equivalence Test 1.3.2 Tier 2 Quality Range Approach 1.3.3 Tier 3 Raw Data and Graphical Comparison 1.4 Scientific Factors and Practical Issues 1.4.1 Fundamental Similarity Assumption 1.4.2 Primary Assumptions for Tiered Approach 1.4.3 Fixed Approach for Margin Selection 1.4.4 Inconsistent Test Results between Tiered Approaches 1.4.5 Sample Size Requirement 1.4.6 Relationship between Similarity Limit and Variability