- Hardcover: 896 pages
- Publisher: Wiley-Interscience; 2 edition (July 26, 2004)
- Language: English
- ISBN-10: 0471031852
- ISBN-13: 978-0471031857
- Product Dimensions: 7.3 x 2 x 10.2 inches
- Shipping Weight: 3.7 pounds (View shipping rates and policies)
- Average Customer Review: 5 customer reviews
- Amazon Best Sellers Rank: #1,566,518 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Biostatistics: A Methodology For the Health Sciences 2nd Edition
Use the Amazon App to scan ISBNs and compare prices.
Fulfillment by Amazon (FBA) is a service we offer sellers that lets them store their products in Amazon's fulfillment centers, and we directly pack, ship, and provide customer service for these products. Something we hope you'll especially enjoy: FBA items qualify for FREE Shipping and Amazon Prime.
If you're a seller, Fulfillment by Amazon can help you grow your business. Learn more about the program.
Customers who bought this item also bought
Customers who viewed this item also viewed
"…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 todays 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
- 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.
Showing 1-5 of 5 reviews
There was a problem filtering reviews right now. Please try again later.
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.
I am not sure if there are examples in SPSS or any other software..haven't reached that far yet.
Wish it was an e-book, would have been easier to carry around !