This 10th edition of Biostatistics: A Foundation for Analysis in the Health Sciences, 10th Edition should appeal to the same audience for which the first nine editions were written: advanced undergraduate students, beginning graduate students, and health professionals in need of a reference book on statistical methodology. Like its predecessors, this edition requires few mathematical prerequisites. Only reasonable proficiency in algebra is required for an understanding of the concepts and methods underlying the calculations. The emphasis continues to be on an intuitive understanding of principles rather than an understanding based on mathematical sophistication. For most of the statistical techniques covered in this edition, we discuss the capabilities of one or more software packages (MINITAB, SAS, SPSS, and NCSS) that may be used to perform the calculations needed for their application. Resulting screen displays are also shown.
I think that Wayne Daniel's book is a fairly comprehensive introductory book in biostatistics. I don't agree with the review who thinks it must be used in a second course rather than a first. Thomas Jefferson University uses it as a first text in biostatistics for their nursing students. I wouldn't mind using it in a first course if I didn't have my own text to use.
Biostatistics review
Published by Thriftbooks.com User , 17 years ago
Nice biostat book that works as a good reference for people with biostatistical interests. I bought it because I had a biostat course this semester. It's nice, I recommened it.
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Published by Thriftbooks.com User , 17 years ago
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Excellent Text for 2nd Statistics Class
Published by Thriftbooks.com User , 21 years ago
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.
Very Good
Published by Thriftbooks.com User , 22 years ago
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.
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