From Book News, Inc.
Suitable for graduate and advanced undergraduate students, as well as health professionals seeking a reference on statistical methodology, this text requires only modest proficiency in algebra. Coverage includes descriptive statistics, the foundations of statistical inference, and inferential statistics. New topics to this edition include inter quartile range, Bayes's theorem, screening tests, resistant line (Tukey's line), and survival analysis. In addition, real data is more extensively used to illustrate concepts and information intended for students using calculators has been deleted. Book News, Inc.®, Portland, OR


Book Description
A new edition of the bestselling Biostatistics textbook. This classic text takes a more applied and computer-oriented approach to its topical coverage. Like its predecessors, the Eighth Edition stresses intuitive understanding of principles rather than learning by mathematical proof. It provides broad coverage of statistical procedures used in all the health science disciplines. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.


Book Info
Georgia State Univ., Atlanta. Package for advanced undergraduate and graduate students and clinicians. Text alone was listed in approval week 1998-45.


The publisher, John Wiley & Sons
Like its predecessors, this edition stresses intuitive understanding of principles rather than learning by mathematical proof. Provides broad coverage of statistical procedures used in all the health science disciplines. This version contains a greater emphasis on computer applications, and most of the statistical techniques include the MINITAB commands by which they can be applied.

FROM THE PUBLISHER

The seventh edition of BIOSTATISTICS represents 25 years of providing students with an integrated introduction to statistical analysis with health-sciences applications. As in previous editions, most of the examples and exercises presented make use of real data from 350 actual research projects and findings reported in health sciences literature. This text also encourages extensive use of computers and regularly employs printouts from Minitab SPSS, and SAS throughout the examples and computer analysis data sets included in the exercises.

FROM THE CRITICS

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