Cause and Correlation in Biology: A User's Guide to Path by Bill Shipley PDF

By Bill Shipley

This ebook is going past the truism that 'correlation doesn't suggest causation' and explores the logical and methodological relationships among correlation and causation. It provides a chain of statistical tools which can attempt, and almost certainly notice, cause-effect relationships among variables in occasions within which it isn't attainable to behavior randomised or experimentally managed experiments. a lot of those tools are relatively new and such a lot are more often than not unknown to biologists. as well as describing how one can behavior those statistical assessments, the publication additionally places the tools into historic context and explains after they can and can't justifiably be used to check or become aware of causal claims. Written in a conversational type that minimises technical jargon, the e-book is geared toward practicing biologists and complex scholars, and assumes just a very uncomplicated wisdom of introductory statistics.

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Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference by Bill Shipley


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