Sample Size Calculations in Clinical Research - Chow, Shein-Chung (Duke Univ, USA); Shao, Jun (Department of Statistics, University of Wisconsin, USA); Wang, Hansheng
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Like the well-regarded and bestselling second edition, Sample Size Calculations in Clinical Research, Third Edition, presents statistical procedures for performing sample size calculations during various phases of clinical research and development. This new edition contains updates and four new chapters written specifically for this version.

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Produktbeschreibung
Like the well-regarded and bestselling second edition, Sample Size Calculations in Clinical Research, Third Edition, presents statistical procedures for performing sample size calculations during various phases of clinical research and development. This new edition contains updates and four new chapters written specifically for this version.
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Autorenporträt
Shein-Chung Chow, PhD, is a professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. Dr. Chow is also an adjunct professor at Duke-National University of Singapore Graduate Medical School, an adjunct professor at North Carolina State University, and founding director of the Global Clinical Trial and Research Center in Tianjin, China. He is editor-in-chief of the Journal of Biopharmaceutical Statistics and editor-in-chief of the Chapman & Hall/CRC Biostatistics Series. He is the author or co-author of more than 250 papers and 24 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. Dr. Lokhnygina is an Assistant Professor of Biostatistics and Bioinformatics at Duke University and a faculty member at Duke Clinical Research Institute. Her primary research interests are in statistical methods for multicenter clinical trials, particularly in application to cardiovascular and diabetes research.