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Intuitive Biostatistics, First Edition Paperback – Oct 1 1995


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Product Details

  • Paperback: 408 pages
  • Publisher: Oxford University Press; 1 edition (Oct. 1 1995)
  • Language: English
  • ISBN-10: 0195086074
  • ISBN-13: 978-0195086072
  • Product Dimensions: 22.4 x 15.5 x 3.3 cm
  • Shipping Weight: 907 g
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Bestsellers Rank: #423,214 in Books (See Top 100 in Books)
  • See Complete Table of Contents


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Most helpful customer reviews

Format: Paperback
I'm doing my PhD and needed something to strengthen my basic biostatistics for the comprehensive exams and for my career (of course). I purchased this book because of the great reviews it has.

The strength:
It indeed deserves the five stars IF you are looking for a book to help you lay down a good stats foundation. Its main strengths are the explanation of the very basic concepts such as confidence intervals, P values, standard deviation, survival curves, relative risk, (a little of) odds ratio, clinical/screening tests, etc. To be honest, I only began to really understand and differentiate all these concepts after reading this book. It is very clear, easy to understand, and very repetitive (in a good way). Now I feel so more confident in interpreting research papers (with all those overwhelming P values) and stats outputs.

The weakness:
Motulsky spends a great deal of chapters explaining the basics I mentioned earlier. Therefore, if what you need is something on statistic tests such as ANOVA, MANOVA, regression, etc., this book wouldn't deserve five stars for you. Although it does try to explain how to interpret the output, the F value and alike, it is very, very superficial. In this case you would better off getting a more advanced statistics book.

But it definitely fitted my needs, so it does deserve five stars to me.
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Format: Paperback
A really nifty book for anyone--and that's most of us--interested in what basic statistical tests mean and how to use them. Even someone with a pretty advanced knowledge of statistics may not understand all of the intuitive concepts described in this book. Consistent with its title, it is probably best suited for those in the biosciences, rather than engineers, for example, but I'd say that people in those more technical fields may very well benefit greatly from reading it. It's written in a conversational manner that is easy to digest. I'd say a lot of thinking by the author went into creating it, because he seems to guess what the reader may be thinking and then answers those questions. He's big on the confidence interval, too. Readers who need more specialized, detailed info on a particular topic, such as two-way ANOVA, probably need to consult an additional text. Overall, a great introduction to fundamental statistical concepts and tests, that will be of interest to biological scientists and many other folks, too. Author of Adjust Your Brain: A Practical Theory for Maximizing Mental Health.
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Format: Paperback
I used this book when writing a manuscript for publication. I stumbled across the author's web site, and found his approach remarkably useful. The book is clear and concise. It encompasses all general statistical methods needed for biomedical publishing for both basic and clinical research. It serves as an indespensible introduction for those, who like me, either never understood biostats as taught in medical school or who have not used these skills often enough to develop adequate familiarity with the methods and their application. Highly recommended.
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By Frosty Cold One on Nov. 16 2003
Format: Paperback
I am very grateful that a professor of mine used this book for her class...I had flipped thru other stats books prior to taking her class, and the contents of those other books looked all too similar to the mathematics books that had tortured me for years.
Intuitive Biostatistics is actually enjoyable to read, and it usually teaches at a pace that is reasonable. Many of the examples were quite relevant to my area of study - Nutrition.
Wish more texts were like this one.
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Format: Paperback
This book was an excellent choice for me to help review biostats for my prelims! Yes, although it doesn't focus on details of the more advanced statistical analyses, it does offer a common sense approach to data analysis. The assumptions for each test are clearly delineated, and the table at the back of the book is a quick reference for choosing tests based on what type of data you have. This is the ONLY biostatistics book I have read cover to cover.
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Format: Paperback
Dr. Motulsky does an excellent job of introducing statistical concepts through examples and direct applications. Where this book is especially valuable is in keeping things simple -- without the intimidating mathematical notation -- while providing examples of where statistics can be used to measure the wrong things or present results that do not make sense in the context of what the researcher is investigating.
My favorite example illustrates how a stastical analysis of a new test that identifies those susceptible to a fatal disease "shows" an increase in the average lifespan of both populations (those who suffer the disease and those who don't). The reality, of course, is no one is living longer because of the test, but rather the population sampled is different. Brilliant and concise.
Although the text is targeted towards those in the bioinformatic and medical vocations, it's useful beyond that because the presentation of concepts is practical and yet without the notation.
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By sgopal2 on Sept. 28 2001
Format: Paperback
I'm taking a class which uses this book as its primary textbook.
Its good for people who would like a refresher to statistics, or those who have never been exposed to stats.
But I found the book skimpy on some of the more important aspects of Statistics. The book is terse and packed with useful clinical information. I highly recommend this book to any clinical person who is looking to brush up on their stats.
Edit: Updated 9/5/02. I have referred to this book countless times since my class has ended. Some topics that are not covered well in Motulsky's book are: multivariate analysis, ANCOVA, Reliability studies and ANOVA. I installed a demo version of Motulsky's GraphPad software and was very impressed. I had a question so I emailed the tech support and Dr. Motulsky himself responded within an hour!
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