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Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life.
Book Description
Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life.
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Amazon.com で最も参考になったカスタマーレビュー (beta)
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36 人中、32人の方が、｢このレビューが参考になった｣と投票しています。
another fine introductory biostatistics book
2008/2/13
形式:ハードカバー
Like Rosner's book by the same publisher, this text is an introductory text by Harvard professors who teach medical students. It seems to be in competition with Rosner's book which makes me wonder why the same publisher is publishing them both. The style is different but the market and level of the two books seem to be the same. Both texts include diskettes with data for PCs. Both books are well written and cover mostly the same topics. The Pagano text seems to go into a little more detail on contingency tables and survival analysis. Both contain lists of valuable references.
20 人中、18人の方が、｢このレビューが参考になった｣と投票しています。
Social scientists beware - research other options
2004/12/4
形式:ハードカバー
I'm a postdoctoral level biomedical researcher who has used many other biostatistics books before. This book is currently used for entry-level biostatistics at my School of Public Health. The bonus is that this book is geared towards epidemiology (eg, there is a chapter on rates and standardization), and I liked the CDROM that comes with the book and contains datasets.
Unfortunately, the authors have chosen to derive many key concepts from probability theory. This is fine if you are comfortable with probability concepts. However, most students with background in social sciences are not: thus I found that this approach often adds an unnecessary level of complexity.
Most of the examples are long-winded, dragging on from page to page - flipping back and forth is extremely frustrating, and the layout makes it difficult to grasp what the point of each example is. Also, the long-winded style makes this book a poor desk reference if you just quickly need to check a formula or definition. Sadly I have to say that I very rarely use this $100 book - there are plenty of more accessible and succinct entry-level texts that cost a fraction of this volume. And yes, Google is better learning tool than this book.
Unfortunately, the authors have chosen to derive many key concepts from probability theory. This is fine if you are comfortable with probability concepts. However, most students with background in social sciences are not: thus I found that this approach often adds an unnecessary level of complexity.
Most of the examples are long-winded, dragging on from page to page - flipping back and forth is extremely frustrating, and the layout makes it difficult to grasp what the point of each example is. Also, the long-winded style makes this book a poor desk reference if you just quickly need to check a formula or definition. Sadly I have to say that I very rarely use this $100 book - there are plenty of more accessible and succinct entry-level texts that cost a fraction of this volume. And yes, Google is better learning tool than this book.
11 人中、10人の方が、｢このレビューが参考になった｣と投票しています。
the "never again" book for biostatistics
2004/12/15
形式:ハードカバー
Let me just start by saying I really like math, but this book did not help me to learn biostatistics at all. It doesn't explain the issues and equations very well and it has absolutly no answers in the back to check with yours, that's a whole other book...and that only has answers to the odds. Perhaps this would be a decent book for anyone who already has a handle on the subject and wants to learn more, but if this is your first exposure to biostatistics, like me, try another source to learn from, this book makes a difficult subject near impossible.
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