- Hardcover: 228 pages
- Publisher: Springer; 2nd edition (March 31, 2002)
- Language: English
- ISBN-10: 1402005695
- ISBN-13: 978-1402005695
- Product Dimensions: 0.5 x 6.2 x 9.2 inches
- Shipping Weight: 1.1 pounds (View shipping rates and policies)
- Average Customer Review: 3 customer reviews
- Amazon Best Sellers Rank: #13,353,028 in Books (See Top 100 in Books)
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Statistics Applied to Clinical Trials 2nd Edition
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From the reviews of the fourth edition:
"Readership: Students, physicians and investigators interested in statistical methods for clinical trials. This book was originally written for a course in medical statistics given in the EU sponsored program European Interuniversity Diploma of Pharmaceutical Medicine starting in the year 2000. … it has been expanded and updated in order to serve as a guide and reference-text to students, physicians and investigators." (Andreas Rosenblad, International Statistical Review, Vol. 77 (3), 2009)--This text refers to an alternate Hardcover edition.
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Top customer reviews
Explanations of tests are either Byzantine or absent. On page 27, the way they set up the Wilcoxon Rank Sum test is so unorthodox as to make it incomprehensible. On page 54, the output of four different post ANOVA tests are shown and extensively mentioned in the narrative. But, there are no explanation whatsoever on the underlying test calculations.
The above caused me to distrust everything about this book. If I picked up so many mistakes within the material I know, how many more are there among the material I don't know.
The purpose of reading statistics books is to acquire reliable knowledge. That book failed on this count. If you are interested in the underlying statistics of clinical trials I recommend instead Intuitive Biostatistics. This is an excellent and occasionally challenging book. Be sure you have a good foundation in basic statistics before studying it. For basic statistics I recommend Forgotten Statistics.
I have come to understand that there is no one "perfect" book on statistics. For example, I own probably around 15 books on various topics in statistics. Why? Because different authors did best with different ways of presenting the material, explanations, and topics themselves. This book is no exception. There are some good things, there are some things that could have been clearer. Where this book wins is if you need a source to quickly look something up - it is a definite thumbs-up. But if you need to "learn" then buy other texts.