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Biostatistics: A Methodology for the Health Sciences (Wiley Series in Probability and Statistics) Hardcover – 3 Aug 2004

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Product details

  • Hardcover: 896 pages
  • Publisher: Wiley-Blackwell; 2nd Edition edition (3 Aug. 2004)
  • Language: English
  • ISBN-10: 0471031852
  • ISBN-13: 978-0471031857
  • Product Dimensions: 18.8 x 4.4 x 25.9 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 3,299,147 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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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)

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.


Inside This Book

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We welcome the reader who wishes to learn biostatistics. Read the first page
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Most Helpful Customer Reviews

2 of 2 people found the following review helpful By A Customer on 18 Dec. 2001
Format: Hardcover
The authors explain things in simple terms. The style is easy to read. The examples are easy to follow. And hence easy to apply.
It is a book that over the years I have always come back to. At all my previous companies, there has been at least one copy on the bookshelf. After years of dipping in and out of it, I have decided that I must have my own copy.
Many books don't explain things in layman terms, are very heavy to read and send you to sleep - but this one definitely doesn't. It is light - though not in weight - it has over 1000 pages... and every page is worth it.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 6 reviews
31 of 31 people found the following review helpful
well written text in biostatistics 9 Feb. 2008
By Michael R. Chernick - Published on Amazon.com
Format: Paperback
The authors write well and cover most of the important topics very thoroughly. They motivate the subject very well with a number of important and "real world" examples in the first chapter.
A unique feature is its detailed coverage of sample size determination in a number of contexts.

The book was published in 1993 which is not recent enough to cover advances in meta analysis, resampling, Bayesian Hierarchical Models (with Markov Chain Monte Carlo Methods) and frailty models. At least bootstrap methods and meta analyses are mentioned in the book.

Noteworthy are the full chapters on multiple comparison problems and discriminant analysis. This is an excellent reference book for biostatisticians.

This review was based on the first edition of the text. Since it is now listed under the second edition and amazon does not let reviewers review the same title twice I am adding my review of the second edition that I recently purchased and read through.

The second edition is as good if not better than the first. The only disadvantage is the high price and availability currently only in hard cover whereas the fist edition was in paperback. The book is still elementary and covers the basics but it is expanded over the first edition, includes two new authors and some new chapters. As the first edition came out around 1993 and this one was published in 2004 there have been significant additions to the literature on biostatistics and the authors have carefully updated the reference sections. The two new and very important chapters cover randomized clinical trials and logitudinal data anlaysis. These are both extremely important topics for the pharmaceutical and medical device industries. Advances in statistical computing, robust statistics, model building and discriminant analysis are all covered in this text. Much of the great aspects of the first edition were preserved and the excellent writing style of van Belle and Fisher remains in this edition.
3 of 3 people found the following review helpful
Great reference text 26 Feb. 2006
By R. Wellman - Published on Amazon.com
Format: Hardcover
This text is a great reference for everything from basic analysis to more advanced topics like longitudinal and time-to-event data. The book is well-written with relevant, current examples. If I had to choose one reference book, this would be it because of its depth and breadth of content (at the intermediate level).
Great Book 6 Sept. 2013
By Manuel I. Alvarez - Published on Amazon.com
Format: Hardcover Verified Purchase
This is a great basic text for biostats and great for the price. There are some mistakes here and there that the professor has pointed out, but they are very minor.
0 of 1 people found the following review helpful
Biostatistics: A Methodology For the Health Sciences 16 Oct. 2014
By Ping Yao - Published on Amazon.com
Format: Hardcover Verified Purchase
very bad condition. The book was split into two parts. it's totally not acceptable. I don't spend money to return.
8 of 17 people found the following review helpful
From an M.D.'s perspective taking a Masters Degree in Stats 10 July 2002
By A Customer - Published on Amazon.com
Format: Paperback
This was a terrible book. To say that it is user unfriendly is an understatement. It is wordy and too long, furthermore, it doesn't teach you what you need to know. It is difficult to reference things (for example, try looking up sensitivity in the index!) and the writing is very tangential. This is not a good book if you are just starting out. I would not receommend it.
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