Statistics for Veterinary and Animal Science / Edition 1

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This textbook, now in its second edition and with an accompanying CD provides the reader with the necessary information to handle numerical data and critically appraise the statistical methodology in the literature in the fields of veterinary and animal science. Written in a non-mathematical way with an emphasis on assimilating underlying concepts and correctly interpreting computer output, it contains numerous worked real examples to help the reader develop an understanding of the procedures. This book is specifically written for veterinary science and animal science students; researchers and practitioners for whom no other suitable text exists.

The book contains black-and-white illustrations.

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Editorial Reviews

An introductory text on statistics relevant to the study of animal health and disease. Petrie statistics, University of London and Watson reproductive cryobiology, University of London emphasize a thorough understanding of concepts and interpretation of results, often in the context of computer output. Annotation c. Book News, Inc., Portland, OR
Doody's Review Service
Reviewer: Matthew C Stewart, BVSc, PhD, FACVSc (University of Illinois College of Veterinary Medicine)
Description: This new edition of a statistics text has several additional features not present in the original, including expanded sections on regression analysis and a CD that contains the data sets used for demonstrative purposes in the book. The previous edition was published in 1999.
Purpose: As clearly stated in the preface, the authors' objective is to provide an introductory statistics text, including basic concepts appropriate for "the complete novice in statistics." The authors have succeeded admirably in this objective. There is a minimum of mathematical content, but sufficient for readers to appreciate the theoretical bases of the statistical tests presented.
Audience: The book has been developed by two experts in statistical analyses of biomedical data and statistical education. In this respect, the book is specifically written for veterinary and animal science students, and should also be useful for practitioners who require a user friendly statistics reference to support coverage of current scientific literature and clinical reports.
Features: The new edition contains 15 chapters that address basic aspects of statistics and distributions (chapters 1 to 4), experimental design and clinical trials (chapters 5 and 13), hypothesis testing (chapters 6 to 9), linear correlation, regression survival, and multivariate analysis (chapters 10, 11 and 14), and non-parametric methods (chapter 12). Of particular note, a chapter focused on the statistical aspects of evidence-based medicine (chapter 15) is a timely addition. A glossary of statistical terms and a series of flow charts for deciding upon appropriate statistical tests are included as appendixes. Each chapter begins with a concise list of learning objectives and ends with a series of exercises designed to develop familiarity with the statistical concepts or operations covered in each section. These learning exercises are supported by an accompanying CD that contains the data sets used in the text in four commonly used statistical formats (ASCII, Excel, SPSS and Stata). This book will serve as an excellent means for developing a working competency with these programs while also developing a theoretical understanding of statistical analyses. The topic of power calculations is covered, but this issue would have benefited from more detail, since prospective power assessment is a critical aspect of experimental design and is often ignored or poorly handled in grants submissions.
Assessment: This second edition will provide an excellent resource for both veterinary and animal science students and for clinical practitioners requiring an easy to use reference for statistical methods and analysis.
From the Publisher
“This book succeeds in this and represents an appropriate text for anyone wishing to understand or produce veterinary and animal science research.”  (Veterinary Record, 14 December 2013)

“Any who carry out or interpret statistical results in a veterinary practice will find this a powerful read, packed with ideas presented in a non-mathematical method clear of jargon but pertinent to any daily practice.”  (Midwest Book Review, 1 September 2013)

“This book offers a good introduction to the most important tests used in veterinary statistics. It provides readers with relevant information on appropriate tests, computer programs, and use of the data. All the data is current and a website provides updated information.”  (Doody’s, 6 September 2013)

“It also seems likely that the third edition of the book will be positively received and meet with approval from those looking for an introduction to statistics for students taking degree programs in veterinary medicine and animal sciences. Although written primarily with students and practitioners of veterinary medicine in mind, Statistics for Veterinary and Animal Science also has much to offer students and researchers within other branches of the biological sciences.”  (Aquaculture International, 22 July 2013)

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Product Details

  • ISBN-13: 9780632050253
  • Publisher: Wiley
  • Publication date: 1/28/1999
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 241
  • Product dimensions: 7.48 (w) x 9.62 (h) x 0.59 (d)

Meet the Author

Aviva Petrie, Head of Biostatistics Unit and Senior Lecturer, UCL Eastman Dental Institute, London; Honorary Lecturer in Medical Statistics, Medical Statistics Unit, London School of Hygiene and Tropical Medicine, UK.  She is also author of a number of other books, including Medical Statistics at a Glance.

Paul Watson is a distinguished and well respected scientist in the field of Reproductive Biology, and is Emeritus Professor at the Royal Veterinary College, UK.

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Table of Contents

1 The whys and wherefores of statistics 1
2 Descriptive statistics 12
3 Probability and probability distributions 28
4 Sampling and sampling distributions 45
5 Experimental design and clinical trials 54
6 An introduction to hypothesis testing 73
7 Hypothesis tests 1 - the t-test : comparing one or two means 83
8 Hypothesis tests 2 - the F-test : comparing two variances or more than two means 95
9 Hypothesis tests 3 - the Chi-squared test : comparing proportions 107
10 Linear correlation and regression 121
11 Further regression analyses 141
12 Non-parametric statistical methods 158
13 Further aspects of design and analysis 174
14 Additional techniques 191
15 Evaluation and reporting - evidence-based veterinary medicine and the CONSORT statement 212
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