Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R - Hardcover

Shipley, Bill

9781009560399: Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

Hardcover

ISBN 10: 1009560395 ISBN 13: 9781009560399

Verlag: Cambridge University Press, 2026

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A guide for biologists describing statistical methods for testing causal hypotheses using R and their application to biological examples.

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�ber die Autorin bzw. den Autor

Bill Shipley is Associate Professor within the Department of Biology at Universit� de Sherbrooke, Canada. He is the author of From Plant Traits to Vegetation Structure: Chance and Selection in the Assembly of Ecological Communities (2012) and continues to make significant contributions to statistical methodology in ecology.

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Verlag: Cambridge University Press
Erscheinungsdatum: 2026
Sprache: Englisch
ISBN 10: 1009560395
ISBN 13: 9781009560399
Einband: Gebundene Ausgabe
Auflage: 3
Anzahl der Seiten: 398
Kontakt zum Hersteller: Cambridge University Press
https://www.cambridge.org/

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Cause and Correlation in Biology (Hardcover)

Bill Shipley

Verlag: Cambridge University Press, Cambridge, 2026

ISBN 10: 1009560395 ISBN 13: 9781009560399

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Hardcover. Zustand: new. Hardcover. 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. Written for graduate students and researchers in biology without advanced statistical training, this book explains the process of testing cause-and effect hypotheses using statistical tools. Combining both theory and practice, learners are provided with step-by-step explanations for analysing data, using the dedicated R packages. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verk�ufers 9781009560399

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Cause and Correlation in Biology

Bill Shipley

Verlag: Cambridge University Press, 2026

ISBN 10: 1009560395 ISBN 13: 9781009560399

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Cause And Correlation In Biology: A User's Guide To Path Analysis, Structural Equations And Causal Inference With R

Shipley, Bill (Universite De Sherbrooke, Canada)

Verlag: Cambridge University Press, 2026

ISBN 10: 1009560395 ISBN 13: 9781009560399

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Hardcover. Zustand: Brand New. 3rd revised edition edition. 398 pages. 6.00x0.94x9.00 inches. In Stock. Bestandsnummer des Verk�ufers x-1009560395

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Cause and Correlation in Biology (Hardcover)

Bill Shipley

Verlag: Cambridge University Press, Cambridge, 2026

ISBN 10: 1009560395 ISBN 13: 9781009560399

Neu Hardcover

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Hardcover. Zustand: new. Hardcover. 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. Written for graduate students and researchers in biology without advanced statistical training, this book explains the process of testing cause-and effect hypotheses using statistical tools. Combining both theory and practice, learners are provided with step-by-step explanations for analysing data, using the dedicated R packages. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verk�ufers 9781009560399

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Cause and Correlation in Biology

Bill Shipley

Verlag: Cambridge University Press, GB, 2026

ISBN 10: 1009560395 ISBN 13: 9781009560399

Neu Hardcover

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Hardback. Zustand: New. 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. Bestandsnummer des Verk�ufers LU-9781009560399

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