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From The CriticsReviewer: Seema Sonnad, PhD (University of Michigan Medical Center)
Description: This text is an introduction to intermediate statistics. It presents statistical concepts integrated with information on how to implement them using SPLUS. A problem set and references appear at the end of each chapter.
Purpose: It is intended as a teaching tool for statistics. It endeavors to introduce the student simultaneously to statistical concepts and the skills and tools needed to apply them.
Audience: It is intended for upper level undergraduates or graduate students taking a first course in biostatistics. The author has used the material from this text successfully in his classes for several years.
Features: It includes data sets, SPLUS syntax, and examples of outputs for each statistical concept presented. The SPLUS language is integrated into the body of the text and the book may be used, as SPLUS is, interactively. The data sets might be better provided on disk or via FTP from the author. Currently, they are long text strings that will need to be entered by hand.
Assessment: This book covers the topics normally found in an introductory biostatistics text: description; simulation; estimation (maximum likelihood, bootstrapping, and regression); ANOVA; and survival. It is unique in providing the instructor with a computational approach to these topics as well as their conceptual presentation. This is a major improvement over teaching concepts in class and methods in lab which are often presented with unconnected texts. I would recommend this book to any instructor teaching biostatistics courses, and especially to students interested in application. It is probably less useful outside the context of a class, except for those motivated to teach themselves from the ground up or those looking for SPLUS codes to implement statistical concepts learned in an introductory class.