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Cause and Correlation in Biology Shipley Paperback Cambridge University Press 2e

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Cause and Correlation in Biology

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

A complete user's guide to structural equations explaining the underlying principals and practical implementation of these methods.

Bill Shipley (Author)

9781107442597, Cambridge University Press

Paperback, published 18 April 2016

314 pages

24.6 x 17.3 x 1.5 cm, 0.63 kg

'For a long time biologists have inferred causation only from carefully designed experiments. Shipley's book broadens horizons by showing how to use observational data to infer whether a causal model is plausible, and to estimate the variation in response due to competing causes.' David Warton, University of New South Wales, Sydney

Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses ]

Cause and Correlation in Biology Shipley Paperback Cambridge University Press 2e

Cause and Correlation in Biology

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

A complete user's guide to structural equations explaining the underlying principals and practical implementation of these methods.

Bill Shipley (Author)

9781107442597, Cambridge University Press

Paperback, published 18 April 2016

314 pages

24.6 x 17.3 x 1.5 cm, 0.63 kg

'For a long time biologists have inferred causation only from carefully designed experiments. Shipley's book broadens horizons by showing how to use observational data to infer whether a causal model is plausible, and to estimate the variation in response due to competing causes.' David Warton, University of New South Wales, Sydney

Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses ]

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