" 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 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.
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