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Biostatistics: A Methodology for the Health Sciences (Wiley Series in Probability & Mathematical Statistics: Applied Probability & Statistics)
 
 
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Biostatistics: A Methodology for the Health Sciences (Wiley Series in Probability & Mathematical Statistics: Applied Probability & Statistics) [Paperback]

Gerald van Belle (Author), Lloyd D. Fisher (Author)
3.5 out of 5 stars  See all reviews (4 customer reviews)


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Book Description

047116609X 978-0471166092 June 11, 1996
This versatile textbook allows students and teachers to fashion an instructional package that meets diverse learning needs. It provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Each topic presentation features introductory comments, real-life examples, a step-by-step outline of the statistical procedure under discussion, an explanation of applications, and numerous practice exercises. Advanced material-which may be included in coursework at the discretion of the instructor-has been noted throughout the text with asterisks, and notes at the end of each chapter extend and enrich the primary material. Early chapters discuss the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference. Later chapters explore more advanced statistical methods and illustrate important current uses of biostatistics. Statistical methods discussed include
* Robustness and nonparametric statistics
* Analysis of variance and covariance
* Multiple comparisons
* Discrimination and classification
* Principal component analysis and factor analysis
* Survival analysis (including life tables, product-limit estimates, and Cox proportional hazards regression)
* Sample sizes for observational studies
With more than 390 practice exercises, clear illustrations and graphics, and more than 130 examples, Biostatistics provides a complete detailed seminar, which encourages steady, incremental growth while acting as a catalyst for creative analysis.


Editorial Reviews

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) --This text refers to the Hardcover edition.

From the Back Cover

This versatile textbook allows students and teachers to fashion an instructional package that meets diverse learning needs. It provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Each topic presentation features introductory comments, real-life examples, a step-by-step outline of the statistical procedure under discussion, an explanation of applications, and numerous practice exercises. Advanced material-which may be included in coursework at the discretion of the instructor-has been noted throughout the text with asterisks, and notes at the end of each chapter extend and enrich the primary material. Early chapters discuss the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference. Later chapters explore more advanced statistical methods and illustrate important current uses of biostatistics. Statistical methods discussed include
* Robustness and nonparametric statistics
* Analysis of variance and covariance
* Multiple comparisons
* Discrimination and classification
* Principal component analysis and factor analysis
* Survival analysis (including life tables, product-limit estimates, and Cox proportional hazards regression)
* Sample sizes for observational studies
With more than 390 practice exercises, clear illustrations and graphics, and more than 130 examples, Biostatistics provides a complete detailed seminar, which encourages steady, incremental growth while acting as a catalyst for creative analysis.

Product Details

  • Paperback: 1024 pages
  • Publisher: Wiley-Interscience (June 11, 1996)
  • Language: English
  • ISBN-10: 047116609X
  • ISBN-13: 978-0471166092
  • Product Dimensions: 9.3 x 6.1 x 1.6 inches
  • Shipping Weight: 2.8 pounds
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,447,765 in Books (See Top 100 in Books)

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Customer Reviews

4 Reviews
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4 star:    (0)
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Average Customer Review
3.5 out of 5 stars (4 customer reviews)
 
 
 
 
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28 of 28 people found the following review helpful:
5.0 out of 5 stars well written text in biostatistics, February 9, 2008
This review is from: Biostatistics: A Methodology for the Health Sciences (Wiley Series in Probability & Mathematical Statistics: Applied Probability & Statistics) (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.

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3 of 3 people found the following review helpful:
5.0 out of 5 stars Great reference text, February 26, 2006
By 
R. Wellman (Seattle, WA United States) - See all my reviews
(REAL NAME)   
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).
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0 of 1 people found the following review helpful:
3.0 out of 5 stars Looks interesting, June 20, 2011
This review is from: Biostatistics: A Methodology for the Health Sciences (Wiley Series in Probability & Mathematical Statistics: Applied Probability & Statistics) (Paperback)
just started reading it..looks interesting with medical related examples.
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 !
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Inside This Book (learn more)
First Sentence:
We welcome the reader who wishes to learn biostatistics. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
pattern matrix corresponding, aflatoxin data, instantaneous relative risk, two neuropathologists, hypothesized parameter value, melanoma data, empirical relative frequency distribution, exercise test data, heart transplant data, definite angina, keypunching errors, pivotal variables, shaded form, probable angina, functional aerobic impairment, medical survival, percent percentiles, coronary artery surgery study, gastric freezing, histamine shock, melanoma rate, adjusted cell, estrogen usage, empirical frequency distribution, covariate patterns
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, United States, American Journal of Epidemiology, Monte Carlo, Source of Variation, New England Journal of Medicine, American Journal of Cardiology, Journal of the American Statistical Association, Journal of the American Medical Association, King County, Wall Street Journal, Journal of Chronic Diseases, Number Variables S-Statistic Probability, San Francisco-Oakland, American Statistician, National Heart, Cardiac Arrhythmia Suppression Trial, Pergamon Press, Survive Death, University of Washington, Academic Press, Adj Residuals, Bills of Mortality, Continuing Example, Reiter's Syndrome
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