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Attributes of Sample Size Calculations in Clinical Research PDF
Focusing on an integral part of pharmaceutical development, Sample Size Calculations in Clinical Research, Second Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. It provides sample size formulas and procedures for testing equality, noninferiority/superiority, and equivalence. Sample Size Calculations in Clinical Research PDF
A comprehensive and unified presentation of statistical concepts and practical applications, this book highlights the interactions between clinicians and biostatisticians, includes a well-balanced summary of current and emerging clinical issues, and explores recently developed statistical methodologies for sample size calculation. Whenever possible, each chapter provides a brief history or background, regulatory requirements, statistical designs and methods for data analysis, real-world examples, future research developments, and related references.
One of the few books to systematically summarize clinical research procedures, this edition contains new chapters that focus on three key areas of this field. Incorporating the material of this book in your work will help ensure the validity and, ultimately, the success of your clinical studies.
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Illustrations of Sample Size Calculations in Clinical Research PDF
For students of all the branches of medicine and surgery and health professionals that aspire to be greater and better at their procedures and medications. A renowned book by those who have read it and learnt from it. Many have already ordered it and is on the way to their home. Whether you work in the USA, Canada, UK or anywhere around the world. If you are working as a health professional then this is a must read.. The most reviewed on book Sample Size Calculations in Clinical Research PDF is available for grabs now here on our website free. Whatever books, mainly textbooks we have in professional courses specially Medicine and surgery is a compendium in itself so understand one book you need to refer another 2-10 books. Beside this there are various other text material which needs to be mastered!! Only reference books are partially read but all other books have to be read, commanded and in fact read multiple times.
The Writers
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.
Proportions of Sample Size Calculations in Clinical Research PDF
- Publisher : Chapman and Hall/CRC; 2nd edition (August 22, 2007)
- Language : English
- Hardcover : 480 pages
- International Standard Book Number-10 : 1584889829
- International Standard Book Number-13 : 978-1584889823
- Item Weight : 1.8 pounds
- Dimensions : 6.14 x 1.06 x 9.21 inches
- Sample Size Calculations in Clinical Research PDF
Reviews From Customers
June
Four Stars
September 5, 2015
Michael R. Chernick
nice coverage of typical sample size problems in clinical trials
September 4, 2007
This is the second edition of a very popular book on sample size estimation that is a valuable reference for any statistician in the industry. we all need to go through such expercises at the beginning of a trial as part of the protocol development.
One disappointment I have with the book is that it does not delineate new topics and other changes/additions from the first edition. Often this is covered by having two Prefaces, the original one from the first edition and a new one from the second edition. The authors unfortunately did not choose to do that. So an owner of the first edition would have to scan through both books to identify the changes.
Another disappointment is the lack of reference to any existing software to do sample size estimation and these days there are a lot of products available. The programs nQuery Advisor and Power and Precision handle equivalence, superiority and noninferiority problems for continuous data. They also provide approximate and exact methods for binomial data. Other packages such as StatXact handle sample size estimation for exact binomial tests as well as for Fisher’s Exact test. PASS, S+SeqTrial and East are packages that provide the designs and sample size stopping rules for group sequential procedures and in some cases adaptive designs. Also with the development of version 9 of SAS comes the new procedures power and glmpower that do everything that nQuery can handle.
The value of the book is that it develops the methodology and therefore helps with the understanding of how and when to use the various procedures. Traditional tables that use to be important for sample size calculations are now obsolete given the availability of good software tools. Although the book goes to great lengths to cover almost any application. Most of these applications can be handled these days through the available software packages.
I can definitely recommend this book as a fine reference on sample size estimation for the wide range of trial applications. I would only try to encourage the authors to drop the use of tables and get up to date by recommending the appropriate software for the various applications.
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