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Statistical Methods for the Analysis of Biomedical Data, 2nd Edition [Hardcover]

Robert F. Woolson (Author), William R. Clarke (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

June 5, 2002 047139405X 978-0471394051 2
The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.
* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.

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Editorial Reviews

Review

"…useful in a course in biostatistics." (Journal of Statistical Computation and Simulation, September 2005)

"...a nice overview of statistical topics...an excellent book to have...highly recommend this book for students and researchers..." (Statistical Methods in Medical Research, Vol 13, 2004)

"…interesting and useful…I recommend it as an addition to your statistical library, and if you already own the first edition, it would be worthwhile to update it." (The American Statistician, Vol. 58, No. 2, May 2004)

From the Publisher

Describes and compares a variety of statistical methods for the analysis of biomedical data. Statistical procedures are described by presenting worked examples for each type of procedure. Coverage includes: methods for comparing two groups, methods for evaluating the association between two variables, techniques for epidemiological analysis of 2x2 tables and procedures for estimation and comparison of survival curves. Presents both parametric and non-parametric procedures throughout the text. Additional topics detailed include observer agreement, standardization of rates and methods for analysis of odds ratio. --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Hardcover: 608 pages
  • Publisher: Wiley-Interscience; 2 edition (June 5, 2002)
  • Language: English
  • ISBN-10: 047139405X
  • ISBN-13: 978-0471394051
  • Product Dimensions: 9.5 x 6.1 x 1.5 inches
  • Shipping Weight: 2.5 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #651,330 in Books (See Top 100 in Books)

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30 of 30 people found the following review helpful:
5.0 out of 5 stars great comprehensive and rigorous treatment of biostatistics, January 22, 2008
This review is from: Statistical Methods for the Analysis of Biomedical Data, 2nd Edition (Hardcover)
This is the second edition of a highly acclaimed text. Like the first edition this book gives an excellent overview of statistical problems in the medical field and provides illustrations of a variety of parametric and nonparametric statistical techniques for solving these problems. It is aimed at the intermediate level rather than as an introductory course. So medical professionals, with a first course in biostatistics under their belt, will find this useful. It is also a good text for graduate students in statistics or biostatistics. Examples are illustrated throughout the text using SAS software. This is a key addition to this edition of the book. Also added in this edition is a chapter on multiple regression where various model selection procedures are nicely covered.

A nice feature of the book is its coverage of epidemiologic methods and data. This was also a strength of the first edition.

I was a little disappointed that the authors did not take the opportunity to significantly update the bibliography. Only a few references are given in the latter chapters to books and articles that appeared after the publication of the first edition in 1987. Also, the authors missed an opportunity to discuss the advances in computing that have led to new methods including Markov Chain Monte Carlo and resampling, both of which have found many applciations in medical research. Bioinformatics and advances in genetics are also playing a major role in medical research, having blossomed since the publication of the first edition of the book. Although I would not expect these topics to necessarily get much coverage, I think they are important enough to at least be mentioned and discussed and have key articles and books referenced.

This is an excellent text for a second course in biostatistics for health care professionals. For a first course the book I am writing with Bob Friis will be useful and it is up to date and even provides some coverage of resampling methods. Wiley published the second edition in 2003.
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Inside This Book (learn more)
First Sentence:
Statistics often refers to a set of numbers or quantitative facts summarized in the form of charts, tables, and graphs. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
experimentwise basis, percent ideal weight, expected cell entries, dichotomous risk factor, tailed tailed, completely random design, exact binomial distribution, rank order relationship, expected chance agreement, placing confidence intervals, minimum significant difference, distinguishable permutations, common odds ratio, two independent random samples, repeated random sampling, population odds ratio, two response categories, baseline serum creatinine, past stroke, approximate relative risk, randomized complete block design, null hypothesis distribution, binomial population, cumulative relative frequency, true odds ratio
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Parameter Estimates Parameter Estimate Standard Error, Corrected Total, Coeff Var, Dose Fig, Lifetime Learning Publications, Practical Nonparametric Statistics, Procedure Model, Standard Coefficient Estimate Error Intercept, United States, Adj R-Sq, Age Female, Duxbury Press, Introductory Guide, Pacific Grove, Response Group, Squares Mean Square, Squares Square, Sum of Source, Age Diff, Attitude Resistant, Contingency Coefficient, Dependent Mean, Discrete Multivariate Analysis, Error Degrees of Freedom
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