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Rating: 
Summary: Very Good
Review: I have used this and other texts by Daniel over the years and I find you can not go wrong with his works. He is a no nonsense author and a very good writer who uses plenty of examples. Get his nonparametric book also.
Rating:
Summary: Very Good
Review: I have used this and other texts by Daniel over the years and I find you can not go wrong with his works. He is a no nonsense author and a very good writer who uses plenty of examples. Get his nonparametric book also.
Rating:
Summary: Excellent Text for 2nd Statistics Class
Review: I'm taking my first biostatistics class in medical school, but the text I am using in class (Rosner) has lost me. I subsequently borrowed Daniel's book from the library (only because it has 7th editions), and I am glad that I picked it! Daniel is a good writer. The book is well organized and laid out. Important concepts are emphased and explained with minimum mathematics involved. The well thought out examples are worth working through as well for clarification of the applications of important concepts. However, as a beginner in statistics, I was lost in the midst of mathematics on certain concepts (given that I have a relatively strong mathematics background) without really understanding the meaning of some very basic terms, like percentile, confidence intervals.
What I do is to read another reference book that explains the very basic concepts in plain English first before reading this text. I am currently using Munro's Statistical Methods for Health Care Research. While both of them cover the same set of concepts, Daniel gives me the mathematical and more advanced explainations compare to Munro.
Rating: 
Summary: Solid introductory reference
Review: Let's look at chapter 9. You will find the following mistakes. (1) Page 419. Figure 9.4.5 (d) r squared - 1, it should be r squared - 0. (2) Page 417 Formula (9.4.1) "-" should be "+" (3) Page 421 8. Statistical decision. Where did they get 8.25? (4) Page 403 Figure 9.2.1 intercept=0 Normally, it is not 0. Anyway, 0 is not totally wrong.I hate this book.
Rating:
Summary: Solid introductory reference
Review: The title is very appropriate - this text provides a solid foundation in biostats. I used it for an intro course in grad school, and working through the text was very worthwhile. Previously cloudy concepts are now more clear, and I have a great reference for future use. More in-depth biostats deserves a consultation with a statistician, not a longer text. I agree with other reviewers that there are occasional mistakes (which need to be fixed - this is not even the first edition), but overall I would still highly recommend it.
Rating: 
Summary: Decent introductory text; but shoddy construction
Review: Well, if I still refer to this text after having taken Intro to Biostats almost 3 years ago, then this book can't be all that bad. For the money, however, the publisher could have at least made the book more durable. This book starts to fall apart after only about a month of use- I kid you not!
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