ESSENTIALS OF BIOSTATISTICS IN PUBLIC HEALTH: .

by Lisa M. Sullivan

Drawing on the author s remarkable clinical experiences with the Framingham Heart Study, Essentials of Biostatistics in Public Health provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistical applications in the field of public health. With a presentation style that is clear and straightforward, the text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations. This text is just one offering in Jones and Bartlett's unique new Essential Public Health Series.

Genres: Science, Nonfiction, Textbooks, Health, School

232 pages, Paperback

First published November 28, 2007

Reviews

[Andy · Rating 3 out of 5]

Yes, it's a textbook.

It's written with the assumption that the reader has some amount of statistics knowledge, and expands on that knowledge with a focus on, as you might guess, public health and epidemiology. Even though my last previous statistics course was sometime in the first Clinton administration, I found this book's lessons and instructions easy to follow and very helpful in the classroom.

There is an online supplement to the book, but as far as I could find out, it's only accessible if you purchase the physical book. I bought a Kindle version and was unable to use the online component.

[Amy · Rating 3 out of 5]

If this book had an answer key then I’d give it 4 stars. I liked the clear layout, easy to follow examples and practice problems were good until they were because I had no means of knowing if I got the answer right. Still did them because the practice was helpful but frustrating as heck!

[Luna · Rating 4 out of 5]

This textbook is one of the few math related books that I actually read through the whole semester and didn't dread the weekly readings. The formulas were explained and built on in ways I felt comfortable with and could follow. I also found the sample problems worked out in the textbook to be understandable in one read through (a phenomenon I don't usually experience with quantitative textbook examples) without having the process explained by someone else first.