Product Description
Following a highly successful first edition, this book takes on a highly entertaining approach to an area normally reserved for dry, hard-to-follow books. Students benefit not only from the humorous aspects, but also from the in-depth and memorable discussions. This second edition features four new chapters on computer-intensive techniques, including MANOVA, Logistic Regression, Measuring Change and Structural Equation Modeling. This book is excellent for medical and other health professions students.

CUSTOMER REVIEWS (Average Customer Rating: 4.5 based on 12 reviews)

Easy to read yet detailed enough for exam!

This book is written as a review for people have already taken some kind of statistics or biostatistic. The funny unique writing style keeps me focus and actually helps me to understand the material better. People who have never taken any statistic class may have a harder time. However, why would any one who has no statistic background try to read a book titles "Biostatistics." There are alway those Dummy books. Even people with no statistic background but with some mathematics background will appreciate this book.
November 06, 2007

A guilty pleasure

Although I have long since graduated to much less easygoing fare, I love this book. When I was a confused and clueless medical student, this was the first text that helped me to come to terms with biostatistical concepts.

If you have a background in psychology or other softer sciences, are facing your first biostatistics class, and find other texts a bit scary or obscure, this is definitely worth a try.

The jokes become annoying and the examples a bit garbled on a second read, but I still love this book because of the clarity of its visuals. I also like and highly recommend the chapters on factor analysis and survival analysis, and usually give this book to new students in our lab.
December 03, 2004

Best intro stat book I've found

I took stat 20 years ago, and decided I needed an update, particularly regarding how to calculate sample size: this book was the ticket. A lot about sample size always seemed to me to be smoke-and-mirrors, and WHEN that's so (not always, but sometimes!), Norman and Streiner admit it, saving the learner a lot of frustration. Money well spent.
November 09, 2004

The best biostatistics review ever!

I keep a copy of this book in my office to loan out to students who are reviewing for biostatistics exams, and colleagues who feel the need to brush up on their biostats.

The book definitely does assume some basic knowledge about statistics -- I wouldn't recommend it for someone trying to learn about biostats for the first time. It's really best for someone who already has some kind of formal training in biostatistics, but doesn't want to have to dredge through the heavy textbooks for every question -- I can definitely find the answers to my most common questions in this book much more quickly than I can in my formal textbooks.

For those looking for a less technical introduction to biostatistics that doesn't presume a lot of preexisting knowledge, I'd suggest Modulsky's 'Intuitive Biostatistics'.
November 02, 2004

just get to the point!

I found this book extremely annoying to read. I thought it
would be a good idea to get an easy statistics book that does
not presume too much prior knowledge I quickly found the so
called "humor" to seriously interfere with readability. The
constant attempt to be funny simply becomes the book's major
goal in almost every sentence you read! and I just found this irritating to a degree that the book is rendered useless.
January 16, 2004

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Intuitive Biostatistics
by Harvey Motulsky

Pdq Statistics (PDQ Series) Third Edition (PDQ)
by Geoffrey R. Norman; David L. Streiner

Designing Clinical Research: An Epidemiologic Approach
by Stephen B Hulley, Steven R Cummings, Warren S Browner, Deborah G Grady, Thomas B Newman

Epidemiology: with STUDENT CONSULT Online Access (Gordis, Epidemiology)
by Leon Gordis

Pathophysiology: The Biologic Basis for Disease in Adults And Children Fifth Edition
by Kathryn L. McCance, Sue E. Huether