Cause and Correlation in Biology

Cause and Correlation in Biology

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

Shipley, Bill

Cambridge University Press

04/2016

314

Mole

Inglês

9781107442597

15 a 20 dias

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