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Biostatistics: Experimental Design and Statistical Inference
 
 
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Biostatistics: Experimental Design and Statistical Inference [Hardcover]

James F. Zolman (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

February 25, 1993 0195078101 978-0195078107 1
This textbook takes a unique approach to explaining and demonstrating how to use and interpret statistics for the physiological, medical, and life sciences. The first third of the book presents an integrated overview and introduction to experimental design and statistical inference. The rest of the book provides an extensively cross-referenced set of 100 brief critiques of sample case studies embodying all the most common statistical errors or design problems found in the biological literature. These specific cases are effective for teaching the principles of biostatistics. The examples are drawn primarily from biomedicine, yet the book is also valuable to psychologists, social scientists, environmental scientists, ecologists, and any discipline employing statistics.

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Editorial Reviews

Review

"Excellent discussion of experimental design and statistical inference. Includes good examples."--Thomas Fairchild, University of New Hampshire, Durham

"Well-written! Covers the material I want to cover."--Jane Keller-Byrne, Medical College of Ohio

"Novel in its presentation of the material."--Edward Meydrech, University of Mississippi Medical Center

"Very useful for the Ph.D. students in our school, in particular in their qualifying phase of doctoral studies."--Jerrold Michael, University of Hawaii

"As healthcare research assumes a renewed importance in this country, Zolman's text provides solid guidance through the concepts and methodologies to make students better researchers and consumers of research."--Roger Ritvo, University of New Hampshire

"Well-written! Good examples for the students in the biological sciences."--Beverly Vilicer, University of Massachusetts

"Good discussion of basic concepts in methodology and statistics. The section on design problems and critique is especially good."--David Katerndahl, University of Texas

"An interesting and fresh approach--definitely fills a need in the literature."--Paul Jones, Case Western Reserve University

"The book has many strong points, including the outstanding collection of well-presented, real examples." --Choice

"Here is a book for experimental biologists who design and interpret their own experiments as well as critically evaluate articles and papers in their field....Has some good features. There is much to be learned from the research design problems....The figures, tables, and flow charts in the first part of the book are helpful and great for reference....The intended audience of experimental biologists will gain much from this book." --Journal of the American Statistical Association

About the Author

James F. Zolman is at University of Kentucky College of Medicine, Lexington.

Product Details

  • Hardcover: 368 pages
  • Publisher: Oxford University Press, USA; 1 edition (February 25, 1993)
  • Language: English
  • ISBN-10: 0195078101
  • ISBN-13: 978-0195078107
  • Product Dimensions: 9.3 x 6 x 1.1 inches
  • Shipping Weight: 1.4 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: #894,983 in Books (See Top 100 in Books)

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5 of 5 people found the following review helpful:
5.0 out of 5 stars An excellent way to learn biostatistics, June 21, 2001
By 
Matt McCurdy (Houston, TX United States) - See all my reviews
This review is from: Biostatistics: Experimental Design and Statistical Inference (Hardcover)
What makes this book stand out from other books on biostatistics is the 100 summarized and briefly critiqued experiments in the second half of the book. I found that critiquing the experiments and comparing to the author's critique dragged me kicking and screaming to a better understanding of statistics in biological experiments. The book has trained me to quickly review other experiments well.
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Inside This Book (learn more)
First Sentence:
An experiment begins with the formulation of one or multiple research hypotheses. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mixed factorial design, litter classification, research design problem, significant day effect, nonexercised rats, hoc multiple comparison tests, testicular diameter, panting thresholds, alternative statistical hypothesis, significant group effect, proposed research question, biostatistics books, significant drug effect, counterbalancing procedure, appropriate treatment conditions, significant dose effect, thermal selection, more treatment conditions, familywise error rate, renal physiologist, theoretical sampling distribution, directional alternative hypothesis, research hypothesis, interaction mean squares, various treatment conditions
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Subject Subject, Fast Blue, Dose Dose, Group Time, Dose Sex, General Case, Identifying the Source of Variance, Equals Number of Independent Groups, Sex Drug, Sex Sex, Group Test, Dose Week, Drug Day, Table Experimental, Brain Area, Day Day, Day Ozone, Group Day, Pairwise Range, Samorin Group, Sex Route, Sex Time
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