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03 Juli 2009

ntroductory Biostatistics for the Health Sciences

Review
"&a good textbook for an introductory course in biostatistics at the advanced undergraduate/beginning graduate level&" -- The American Statistician, Vol. 58, No. 2, May 2004

"...lucid writing style and numerous real-world examples add to the book's appeal and value...complex subject uniquely accessible..." -- Zentralblatt Math, Vol. 1028, 2004

"...the book is most successful in meeting the needs of students..." -- Technometrics, Vol. 45, No. 4, November 2003

“…readers will come away with a better understanding of biostatistics...” (Statistical Methods in Medical Research, Vol.14, No.1, 2005)

"…a good textbook for an introductory course in biostatistics at the advanced undergraduate/beginning graduate level…covers a broader variety of topics that is usually found in comparable textbooks…" (The American Statistician, Vol. 58, No. 2, May 2004)

"...lucid writing style and numerous real-world examples add to the book's appeal and value...complex subject uniquely accessible..." (Zentralblatt Math, Vol. 1028, 2004)

“...the authors’ lucid writing style and numerous interesting real-world examples make a complex subject quite acc3essible to a diverse audience...I recommend this book to undergraduate statistics students, medical personnel, public health trainees, or nursing and medical students...would also make an excellent textbook for an introductory...biostatistics course.” (Mathematical Reviews, Issue 2004b)

"...the book is most successful in meeting the needs of students..." (Technometrics, Vol. 45, No. 4, November 2003)

Product Description
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.
* Emphasis on outliers is discussed by way of detection and treatment.
* Resampling statistics software is incorporated throughout.
* Motivating applications are presented in light of honest theory.
* Plentiful exercises are sprinkled throughout.

From the Back Cover
A uniquely accessible overview of statistics for the medical industry

Statistics is a vital discipline with growing applications across many industries, especially the ever-evolving field of health care, where it plays an essential part in the design of new medical devices, the implementation and analysis of clinical trials, and various epidemiological studies. In today’s modern age of computing, both statistical methodology and its applications are expanding as rapidly as the technology will allow, resulting in an upsurge of new developments and more effective methodologies.

Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap addresses the need for a book that presents a basic, accurate, and up-to-date overview of statistical methodology as it applies to today’s health care industry. The authors, both professionals in the areas of medical consulting and epidemiological research, provide balanced coverage of the latest developments in the industry, liberally illustrated with real-world examples. Students and professionals will find this text helpful in several important ways:

  • Presents motivating applications in light of honest theory
  • Incorporates resampling statistics software throughout
  • Discusses Outliers by way of detection and treatment
  • Covers such recent statistical advances as bootstrapping
  • Includes helpful exercises throughout
A lucid writing style and numerous real-world examples add to the book’s appeal and value, and make a complex subject uniquely accessible to a diverse audience including medical personnel, public health trainees, as well as nursing and medical students.

About the Author
MICHAEL R. CHERNICK, PhD, is the Assistant Director of Biostatistics at Novo Nordisk Pharmaceuticals, Inc., in Princeton, New Jersey. He is the author of Bootstrap Methods: A Practitioner’s Guide.
ROBERT FRIIS, PhD, is Professor and Chair of the Department of Health Science at California State University, Long Beach. He is senior author of Epidemiology for Public Health Practice and has published more than fifty papers related to epidemiology

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Review
"…an excellent introductory biostatics book with several examples and easy to understand interpretations of data analysis results." (Journal of Statistical Computation and Simulation, September 2005)

"The book would serve as a good springboard for structuring an introductory biostatistics course…" (The American Statistician, August 2005)

"...the book will be a great resource for new readers as well as professionals in the field of health research." (E-STREAMS, May 2005)

"...this comprehensive book should continue to merit consideration by anyone looking for a desktop reference in biostatistics." (Technometrics, May 2005)

“…this second edition adds two new chapters: one on randomised clinical trials, and another on longitudinal data analysis.” (Journal of Applied Statistics, Vol.32, No.3, April 2005)

"Beyond comprehensiveness, the differentiating characteristics of this textbook is the use of medical examples...a text that can be fully appreciated by those seeking a technical statistical reference…" (The Annals of Pharmacotherapy, March 2005)

“…enjoyable reading…approachable and comprehensible…a useful addition to the bookshelf of any biomedical researcher…” (Journal of the Royal Statistical Society, Series A, Vol.168, No.2, March 2005)

“…this updated edition will ensure the ongoing usefulness of this valuable resource…” (Short Book Reviews, Vol.24, No.3, December 2004)

"…chock full of information and careful examination…scientists and researchers who access this information will gain much new insight…" (Electric Review, October/ November 2004)

"The authors have dealt with the subject matter in truly comprehensive terms… scientists and researchers who access this information will gain much new insight..." (Electric Review, July/August 2004)

Product Description
A respected introduction to biostatistics, thoroughly updated and revised

The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for today’s aspiring and practicing medical scientist.

This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics.

New to this edition are discussions of

  • Longitudinal data analysis
  • Randomized clinical trials
  • Bayesian statistics
  • GEE
  • The bootstrap method

Enhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.

From the Back Cover
A respected introduction to biostatistics, thoroughly updated and revised

The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for today’s aspiring and practicing medical scientist.

This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics.

New to this edition are discussions of

  • Longitudinal data analysis
  • Randomized clinical trials
  • Bayesian statistics
  • GEE
  • The bootstrap method

Enhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.

About the Author
GERALD VAN BELLE is a professor in the Departments of Biostatistics and Environmental and Occupational Health Sciences at the University of Washington in Seattle, Washington. He is the author of four books as well as more than 100 articles and numerous book chapters.
LLOYD D. FISHER is Professor Emeritus in the Department of Biostatistics at the University of Washington, Seattle, and a consultant to the drug and device industries. He has held positions with the Center for AIDS Research, the Mayo Clinic, and the Fred Hutchinson Cancer Center, among others.
PATRICK J. HEAGERTY is an associate professor in the Department of Biostatistics at the University of Washington in Seattle and an associate member at the Fred Hutchinson Cancer Research Center.
THOMAS LUMLEY is an associate professor in the Department of Biostatistics at the University of Washington in Seattle.


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Introductory Biostatistics

Editorial Reviews
Review
"Students from health, medical, pharmacy, and nursing will find…[this book] extremely useful." (Journal of Statistical Computation and Simulation, September 2005)

"…well written…a great text for students entering the biomedical field as well as a reference for professionals…" (Statistical Methods in Medical Research, Vol. 14, 2005)

"…Each chapter is equipped with a set of exercises…" (Zentralblatt Math, Vol.1038, No.13, 2004)

Product Description
* Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises.
* Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers.
* Contains notes on computations at the end of most chapters, covering the use of Excel, SAS, and others.

From the Back Cover
The nuts-and-bolts of biostatistics–without the anxiety

To students in public health, dentistry, nursing, and other health disciplines, the introductory course in biostatistics conjures up dread images of mind-numbing formulas and dry-as-bones texts. This text, adapted from and expanding on his bestselling Health and Numbers (Wiley), will change your mind.

Designed as an antidote to the usual anxiety-producing textbooks, Professor Chap T. Lee’s Introductory Biostatistics is a lively, user-friendly introduction that will nurture interest and motivate students to see statistics as a "way of thinking" about gathering and analyzing data–not just a bunch of formulas or data. It is, as the author puts it, "the science of dealing with uncertainties using incomplete information."

Taking a problems-based approach full of real-world examples, the text slowly and methodically builds understanding and mastery of the fundamentals of biostatistics. It briefly covers data collection and then expands on the subjects of descriptive statistics, statistical inference, probability, and probability models. Such features as "Brief Notes on the Fundamentals," end-of-chapter notes on computations using Excel, and samples of SAS computer programs strengthen the reader’s grasp of the background and the concepts of biostatistical procedures.

Written for the applied statistician seeking a handy and accessible reference as well as for students taking a full-year course, Introductory Biostatistics fills a long-time need for a reassuring, sensitively-presented, yet thorough exposure to a subject of increasing importance to professionals in the health disciplines.

About the Author
CHAP T. LE, PhD, is Distinguished University Teaching Professor and the Director of Biostatistics at the Comprehensive Cancer Center of the University of Minnesota, Twin Cities. His other books include Health and Numbers: Basic Biostatistical Methods, Applied Survival Analysis, Applied Categorical Data Analysis, and Health and Numbers: A Problems-Based Introduction to Biostatistics, Second Edition, all from Wiley.


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