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

ISBN-13: 9781107442597 / Angielski / Miękka / 2016 / 314 str.

Bill Shipley

Opis

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

Recenzje

'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

Spis treści

Preface; 1. Preliminaries; 2. From cause to correlation and back; 3. Sewall Wright, path analysis and d-separation; 4. Path analysis and maximum likelihood; 5. Measurement error and latent variables; 6. The structural equations model; 7. Multigroup models, multilevel models, and corrections for non-independence of observations; 8. Exploration, discovery and equivalence; Index.