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Emerging Topics in Statistics and Biostatistics
cover

Design and Analysis of Subgroups with Biopharmaceutical Applications

Editors: Ting, N., Cappelleri, J., Ho, S., Chen, D.-G.D. (Eds.)

  • Offers a curated collection of perspectives from experts in the field who are involved in the design, analysis, and application of pharmaceutical statistics related to subgroup methodology
  • Grounds methods and real-data applications in state-of-the-field techniques and direction
  • Highlights recent advances that have major clinical relevance, designed to have particular appeal to practitioners in the field
  • Discusses the appropriate use of subgroup design and analysis, cutting-edge methods on identification of subgroups, and potential fallacies of subgroup analysis
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Buy this book

eBook $109.00
price for Mexico (gross)
  • The eBook version of this title will be available soon
  • Due: 30 de junio de 2020
  • ISBN 978-3-030-40105-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $139.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 2 de junio de 2020
  • ISBN 978-3-030-40104-7
  • Free shipping for individuals worldwide
About this book

This book provides an overview of the theories and applications on subgroups in the biopharmaceutical industry. Drawing from a range of expert perspectives in academia and industry, this collection offers an overarching dialogue about recent advances in biopharmaceutical applications, novel statistical and methodological developments, and potential future directions.

The volume covers topics in subgroups in clinical trial design; subgroup identification and personalized medicine; and general issues in subgroup analyses, including regulatory ones. Included chapters present current methods, theories, and case applications in the diverse field of subgroup application and analysis. Offering timely perspectives from a range of authoritative sources, the volume is designed to have wide appeal to professionals in the pharmaceutical industry and to graduate students and researchers in academe and government.

About the authors

Naitee Ting is a fellow of the American Statistical Association (ASA) and a director in the Department of Biostatistics and Data Sciences at Boehringer-Ingelheim Pharmaceuticals, Inc. (BI). Before joining BI in September 2009, he was at Pfizer, Inc. for 22 years (1987-2009).

Joseph C. Cappelleri is an executive director of biostatistics in the Statistical Research and Data Science Center at Pfizer, Inc. As an adjunct professor, he has served on the faculties at Brown University (biostatistics), Tufts Medical Center (medicine), and the University of Connecticut (statistics). He has co-authored approximately 1000 external presentations and 500 publications on clinical and methodological topics, including on regression-discontinuity designs, meta-analysis, and health measurement scales. Dr. Cappelleri is the lead author of the book Patient-Reported Outcomes: Measurement, Implementation and Interpretation (2013, with Zou, Bushmakin, Alvir, Alemayehu, and Symonds), and has co-authored or co-edited two other books (one on Phase II clinical trials, the other on health economics and outcomes research). He is a Fellow of the American Statistical Association.

Shuyen Ho is a lead research biostatistician at UCB BioSciences in Raleigh, North Carolina. Prior to UCB, he was a biostatistics director at PAREXEL and GlaxoSmithKline (GSK), and a group leader and research statistician at Merck. He has been involved in developing allergy, asthma, COPD (chronic obstructive pulmonary disease) and some other rare disease medications. Dr. Ho has also actively served the International Chinese Statistical Association (ICSA) as a board director, symposium and program committee chair, and executive director.

Ding-Geng (Din) Chen is the Wallace H. Kuralt Distinguished Professor and Director of the Consortium for Statistical Development and Consultation (CSDC) in the School of Social Work, and is jointly appointed as a clinical professor in the Department of Biostatistics at the UNC Gillings School of Global Health. He is an elected fellow of American Statistical Association. As a professor in biostatistics, he is interested in developing biostatistical methodologies in clinical trials, meta-analysis, Bayesian statistics and their applications to public health. As a professor in social work, he is interested in developing Bayesian social and health intervention research, cusp catastrophe modelling, statistical causal inferences, propensity score and structural-equation models (SEM). He is PI/Co-PI for several NIH R01 research projects in biostatistical methodology development and public health applications.


Buy this book

eBook $109.00
price for Mexico (gross)
  • The eBook version of this title will be available soon
  • Due: 30 de junio de 2020
  • ISBN 978-3-030-40105-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $139.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 2 de junio de 2020
  • ISBN 978-3-030-40104-7
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Design and Analysis of Subgroups with Biopharmaceutical Applications
Editors
  • Naitee Ting
  • Joseph Cappelleri
  • Shuyen Ho
  • Ding-Geng (Din) Chen
Series Title
Emerging Topics in Statistics and Biostatistics
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-40105-4
DOI
10.1007/978-3-030-40105-4
Hardcover ISBN
978-3-030-40104-7
Series ISSN
2524-7735
Edition Number
1
Number of Pages
X, 424
Number of Illustrations
18 b/w illustrations, 43 illustrations in colour
Topics