Intuitive Biostatistics, First Edition Paperback – Oct 1 1995
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"I like this book much, I will be "beta-testing" it on my upper-level undergraduate biostatistics class. It fills a great need for my students."--Harriette Phelps, University of D.C.
"This splendid book meets a major need in public health, medicine, and biomedical research training--a user-friendly biostatistics text for non-mathematicians."--Gilbert S. Omenn, Executive Vice President for Medical Affairs at the University of Michigan
"Motulsky has written a very readable and delightful account of how statistics are used in biology and medicine...He focuses on clinical studies and covers a broad range of topics, including...such specialized areas as survival analysis, Bayesian inference, and logistic regression." --Quarterly Review of Biology
"The unique aspect of the book, which makes it different from other biostatistics books, is its approach to the content...His goal is to help the reader interpret medical literature rather than analyze a set of data....I higly recommend this book for those needing a non-mathematical, explanatory introduction to biostatistics. It is well-written and provides wonderful clinical examples and biostatistical content...An excellent resource book for medical students and housestaff who are struggling along with the concepts; and for those of you who were wondering, it was surprisingly easy to read."--Joseph Chu, MD, MPH, University of Washington in Teaching and Learning Medicine
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Top Customer Reviews
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.
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.
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.
My usual concern with such books is that concepts are oversimplified and the presentation is too cook-bookish. Amazingly that is not the case here. Professor Motulsky carefully explains concepts such as confidence intervals, p-values, multiple comparison issues, Bayesian thinking and Bayesian controversy in a way that should be understandable to his intended audience.
Proportions and the binomial distribution are introduced early. Advanced topics such as sequential methods, survival curves and logistic regression are tackled. These subjects are important in medical research but are often avoided in elementary books.Read more ›
Most recent customer reviews
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. Read morePublished on May 23 2004 by JoeyC
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... Read morePublished on Nov. 16 2003 by Frosty Cold One
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... Read morePublished on June 10 2003 by R. Bruhn
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... Read more
I'm a practicing physician who has found it necessary to try to educate myself on the use of biostatistics in the medical literature. I have read over 20 books on biostatistics. Read morePublished on Sept. 24 2000 by Joseph Marino
...to practical statistical methods I've seen. Dr. Motulsky articulately enables consideration and application of statistical methods. Read morePublished on July 13 2000 by R. Singer
I was delighted to discover this book four years ago, when I began teaching a course in clinical research methods. Read morePublished on Feb. 1 2000 by DB
This book is intended to understand statistics, but it contains a lot of information about how to use it. Read morePublished on Jan. 22 2000 by Carmine Pascuzzo-Lima
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