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Statistics and Experimental Design for Toxicologists, Third Edition [Hardcover]

Shayne C. Gad (Author)
2.3 out of 5 stars  See all reviews (3 customer reviews)


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Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition
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Book Description

0849331382 978-0849331381 August 14, 1998 3

This book serves as a primary text and source for both practicing and student toxicologists. This edition retains the structure of earlier editions, but includes chapters on trend analysis, risk assessment, and epidemiology, as well as revision of material on the analysis of covariance and reworking of corresponding examples. Marketing Class Code: 1U, 6B2


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About the Author

Gad; Shayne C. Gad Consulting Services, Raleigh, North Carolina, USA,

Product Details

  • Hardcover: 448 pages
  • Publisher: CRC; 3 edition (August 14, 1998)
  • Language: English
  • ISBN-10: 0849331382
  • ISBN-13: 978-0849331381
  • Product Dimensions: 9.5 x 6.4 x 1.1 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 2.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #4,432,373 in Books (See Top 100 in Books)

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2.3 out of 5 stars (3 customer reviews)
 
 
 
 
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4 of 4 people found the following review helpful:
1.0 out of 5 stars A truly terrible book, December 28, 2006
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Alethephant (Virginia Beach, VA USA) - See all my reviews
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This review is from: Statistics and Experimental Design for Toxicologists, Third Edition (Hardcover)
I thought I had never met a book on statistics I didn't like (i.e., find something useful therein), until I met this book. I bought it in spite of other reviews that mentioned glaring errors that had not been fixed. I felt I knew enough about statistics to fix the errors, and I was interested primarily in the application of statistics to toxicology, for which topic few good texts exist. However, I could never have imagined the monumental scale of the corrections needed.

In this book (supposedly in its 3rd edition), in my opinion there is essentially NOTHING in the text without errors and omissions, except possibly the SAS programs given, which are possibly useful to the neophyte in SAS. Formulae are unintelligible, missing parentheses and using improper symbols and typesetting. Symbols are referenced that are never defined, etc. Apparently the author just created a montage of clips from other works without regard to antecedent explanation and had zero concern for correctness (he should be ashamed).

Finally, in my opinion, the author does not appear from his writings to be the expert in the field that one would expect from the book title. He does appear to be a toxicologist, but his knowledge of statistics appears rudimentary and confused.

I was truly disappointed by this book, because my needs remain unsatisfied. Its true value lies solely in the table of contents (so you can look up elsewhere the techniques referenced) and the SAS program snippets. Everything else is untrustworthy, incomplete and generally contaminated by errors. If the author cared the least bit about accuracy and content, he could have made his book enormously more useful in the 1st, 2nd or 3rd edition. The eternal optimist may hope for this in the 4th edition.
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4 of 4 people found the following review helpful:
4.0 out of 5 stars Recommended for both student and practicing toxicologists, October 8, 1998
This review is from: Statistics and Experimental Design for Toxicologists, Third Edition (Hardcover)
The third edition has a larger scope and is a useful upgrade from the previous edition. Beginning with descriptive statistics and using examples drawn from toxicology studies, the book covers issues and methods for inferential statistics in toxicology at an accessable level. Meta-analysis, assessment of carcinogenicity, risk assessment, and quantitative structure-activity relationships are all addressed.

A strength of the book is that the interpretation of the statistics in biological context is emphasized. The biological interpretation is an example of the author leading us to follow the advice of R.W. Hamming who suggested that the purpose of computation is insight, not numbers.

The third edition achieves its goal of being useful as a textbook for students and a source for practicing toxicologists.

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3 of 3 people found the following review helpful:
2.0 out of 5 stars Fix the mistakes, February 17, 2003
This review is from: Statistics and Experimental Design for Toxicologists, Third Edition (Hardcover)
While this book is a good attempt at placing statistical topics necessary to toxicology in one spot, the mistakes are inexcusable. Many formula are incorrect as well as text referring to the wrong tables or data. Therefore, one begins to lose trust in the information presented. Be careful if you use this book!
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Inside This Book (learn more)
First Sentence:
This book has been written for both practicing and student toxicologists, as both a basic text and a practical guide to the common statistical problems encountered in toxicology and the methodologies that are available to solve them. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
semiquartile distance, moving average interpolation, greater mean square, unadjusted test, animal carcinogenicity studies, historical control data, benchmark doses, moderate departures, inhalation study, assumptions and limitations
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Cancer Res, Marcel Dekker, Academic Press, Analysis of Example, Oxford University Press, Environmental Protection Agency, Food Safety Council, Value Rank, Chauvenet's Criterion, Federal Register, Iowa State University Press, Long-term Animal Carcinogenicity Studies, San Francisco, Statistical Perspective, Cambridge University Press, Cancer Inst, Graphics Press, Inhalation Rat, Mutation Res, Plenum Press, Psychological Bulletin, University of California Press, Windows Yes Complete Full
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