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Biostatistical Analysis [Hardcover]

Jerrold H. Zar
3.7 out of 5 stars  See all reviews (6 customer reviews)

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Biostatistical Analysis (5th Edition) Biostatistical Analysis (5th Edition)
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Book Description

Oct. 18 1998 013081542X 978-0130815422 4

The latest edition of this best-selling biostatistics book is both comprehensive and easy to read. It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. The Fourth Edition can serve as either an introduction to the discipline for beginning students or a comprehensive procedural reference for today's practitioners.


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Product Description

From Library Journal

This book combines useful explanations of statistical methods in the biological sciences with statistical graphs and tables frequently employed by researchers. It requires no previous knowledge of statistics and can be used as a reference tool for those looking for information on population sampling, frequency analysis, probabilities, and more.
Copyright 1999 Reed Business Information, Inc.

From the Back Cover

The latest edition of this best-selling biostatistics book is both comprehensive and easy to read. It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. The Fourth Edition can serve as either an introduction to the discipline for beginning students or a comprehensive procedural reference for today's practitioners.


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Customer Reviews

Most helpful customer reviews
3 of 3 people found the following review helpful
Format:Hardcover
This book and BIOMETRY by Sokal and Rohlf are the two standard statistics books that live on the shelves of most biological researchers.
Zar makes methods and interpretations of statistical analyses accessible and understandable. There are suffient numbers of statistical tests in the text to cover most of my statistical needs. The book also includes its own tables of critical values (something that BIOMETRY does not -- there's a paperback companion book of tables for that book). Zar also includes examples that are easy to follow, as well as enough mathematical background to allow one to understand the hypothetical and much of the mathematics behind the statistical methods.
I typically turn to Zar first when I have a statistical question. This book continues to be a highly prized ally of mine in the data analysis game.
I highly recommend this book to all biology grad students and researchers. It's well worth the price -- an investment that pays off!
5 stars, no doubt about it.
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2 of 2 people found the following review helpful
5.0 out of 5 stars A Great Desk Reference for Biologists Feb. 9 2004
Format:Hardcover
I have found this book more approachable and user friendly than Sokal and Rohlf. Zar is an excellent desk reference, and has solved a number of statistical problems for me. I reccomend it to anybody who regularly uses statistics in a biological context.
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2 of 2 people found the following review helpful
Format:Hardcover
This book is popular because it is well written and authoritative. It is written for biologists, medical students and researchers who do not have any prior knowledge of probability or statistics and may have little mathematical training as well. It serves as an introductory text providing many homework exercises. It can also be used as a reference. It is very thorough and covers most of the important topics required for biological problems. The needed probability is introduced when necessary.
There is the usual emphasis on hypothesis testing and regression. Correlation and analysis of variance are also very well covered. Important issues of sample size determination are covered and many solutions are provided in easy to use box descriptions.
As the author points out in the preface, in order to make this text a good reference it is extensive (663 pages of text followed by appendices and a large number of tables). It also includes a wealth of useful reference articles and books. Consequently, there is too much material for a one semester course. The author provides instructors with guidelines for sections to cover in an introductory course.
Notable topics covered in this text that is rarely found in introductory biostatistics books include multivariate methods especially the multivariate analysis of variance (MANOVA)and inference for circular data.
Recent developments in meta analysis, Bayesian statistics and bootstrap methods are not covered. In fact, these topics are not covered at all. Also, the important topic of missing data is omitted. Outliers are only covered briefly and just a few references are given but the major references, the texts by Hawkins and the treatise of Barnett and Lewis are neglected.
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