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Customer Reviews:Average Customer Rating: ideal book for those analyzing clinical trials I have previously reviewed a more recent book in the SAS series "Pharmaceutical Statistics using SAS: A Practical Guide" that Dmitrienko and Chuang-Stein also edited. Both books are very similar because they provide a variety of chapters by top experts in the field. Each chapter is well written and understandable to nonstatisticians who do clinical research as well as for statisticians who can use it as a reference and guide to the appropriate techniques to handle various common situations. I highly recommend this book to anyone who analyzes clinical trials data. Overly complicated language Good history of methods with lots of citations. Not so good for practical application. Programming language is not fully explained and results are difficult to understand and reproduce. Limited output shown. I want Ron Cody to write an "applied statistics for clinical trials" workbook. Comprehensive and thorough This is an excellent easy to follow book, from which both statisticians and interested medical professionals can greatly benefit, I believe, because I am working with both. It has helped me a lot in my graduate project on data analysis of laboratory animal trials. | | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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