Ebook Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference, by Bill Shipley
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Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference, by Bill Shipley
Ebook Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference, by Bill Shipley
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Bill Shipley explores the logical and methodological relationships between correlation and causation. He presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations where it is not possible to conduct randomized, or experimentally controlled, studies. Many of these methods are quite new and most are generally unknown to biologists. Besides describing how to conduct these statistical tests, he also puts the methods into historical context and explains when they can and cannot justifiably be used to test causal claims. Hb ISBN (2000); 0-521-79153-7
- Sales Rank: #1428740 in Books
- Published on: 2002-09-02
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .71" w x 5.98" l, 1.03 pounds
- Binding: Paperback
- 332 pages
Review
'... the perfect introduction to SEM. This book can be used as the primary text in a SEM course given within any discipline, and can be used by scholars and researchers from any area of science.' Structural Equation Modeling
'Addressing students and practising biologists, Shipley does a terrific job of making mathematical ideas accessible ... Cause and Correlation in Biology is a nontechnical and honest introduction to statistical methods for testing causal hypotheses.' Johan Paulsson, Nature Cell Biology
'I highly recommend the book for those interested in multivariate approaches to biology.' Annals of Botany
'I highly recommend the book by Shipley for those interested in multivariate approaches to biology.' Annals of Botany
About the Author
Bill Shipley teaches plant ecology and biometry in the Department of Biology at the Universite de Sherbrooke, Canada.
Most helpful customer reviews
7 of 7 people found the following review helpful.
Very good introduction for practitioner.
By Zac
The book of Shipley provides an easy to read introduction in the field of structural equations and causal inference from experimental data. Most concepts are very well explained and examples are provided to see how to apply the concepts practically. Without any reservation I recommend it to none experts in this field who want to learn the intermediate basics directly applicable to own problems, e.g., for biologists.
However, for people trained in more theoretical fields, e.g., computer science, the thorough verbal explanations of mathematical formular (which are provided) is a little tiring after the first 100 pages, because the relative simple formulas can easily be interpreted. Instead, I wished the book would provide more alternative approaches in form of statistical test to test for causality. For this reason, I would recommend not to rewrite the complete book, but only include one additional chapter written in a more technical style. Then it would be close to perfect.
Finally, I want to remark, that the historical notes given throughout the book are not only very intesting but also inspiring, because they remind not to oversee mathematical developments in the none mathematical literature. SEM is certainly a good example.
To summarize, this is really a decent book!
13 of 14 people found the following review helpful.
Path analysis and structural equation modeling
By A Customer
This is an excellent guidebook to path analysis and structural equations for biologists. The text is very readable (and even amusing in spots). There is interesting background on the development of path analysis and SEM, as well as thoughtful explanations of how these analyses can link hypotheses of causality to probability theory. New techniques for model testing are introduced that may add additional utility to the statistical method. I found it to be a thoughtful and thorough introduction to a potentially powerful new technique in biology and ecology.
6 of 8 people found the following review helpful.
Great methods!
By Marco Sisfontes
This book is one of the best in the subject and its approaches to causality are very straight forward, and uses interesting algorithms. This book is very clear, and the authors takes you stsep by step in order to perform causal analysis. I used this books in a course, and I really enjoyed its simplicity.
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