Cause and Correlation in Biology

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

Cause and Correlation in Biology

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


 Reviews:

'… 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

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