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Shein-Chung Chow

Sample Size Calculations in Clinical Research

Ebook (PDF Format)

Praise for the Second Edition:... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study. -BiometricsThis impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered ... - Journal of the Royal Statistical SocietySample Size Calc… Mehr

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Produktdetails


Weitere Autoren: Shao, Jun / Wang, Hansheng / Lokhnygina, Yuliya
  • ISBN: 978-1-351-72712-9
  • EAN: 9781351727129
  • Produktnummer: 23977151
  • Verlag: Taylor & Francis Ltd.
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Seitenangabe: 510 S.
  • Plattform: PDF
  • Masse: 7'098 KB
  • Auflage: 3. Auflage
  • Abbildungen: 87 schwarz-weiße Tabellen

Über den Autor


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.

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