Cause and Correlation in Biology
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- Publisher:
- Cambridge University Press
- Publication date:
- 18 July 2026
- 13 August 2026
- ISBN:
- 9781009560368
- 9781009560399
- 9781009560382
- Dimensions:
- (229 x 152 mm)
- Weight & Pages:
- 0.771kg, 412 Pages
- Dimensions:
- (229 x 152 mm)
- Weight & Pages:
- 0.591kg, 412 Pages
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3rd edition
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Book description
Aimed at practising biologists, especially graduate students and researchers in ecology, this revised and expanded 3rd edition continues to explore cause-effect relationships through a series of robust statistical methods. Every chapter has been updated, and two brand-new chapters cover statistical power, Akaike information criterion statistics and equivalent models, and piecewise structural equation modelling with implicit latent variables. A new R package (pwSEM) is included to assist with the latter. The book offers advanced coverage of essential topics, including d-separation tests and path analysis, and equips biologists with the tools needed to carry out analyses in the open-source R statistical environment. Writing in a conversational style that minimises technical jargon, Shipley offers an accessible text that assumes only a very basic knowledge of introductory statistics, incorporating real-world examples that allow readers to make connections between biological phenomena and the underlying statistical concepts.
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