Cause and Correlation in Biology

A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

von Bill Shipley

398 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Themen: Geowissenschaften, Geographie, Umwelt, Planung Umwelt Umweltschutz Erhaltung von Wildtieren und Lebensräumen
• ISBN: 9781009560399
• Sprache: Englisch
• Erscheinungsdatum: 13.08.2026
• Verlag: Cambridge University Press