Cause and correlation in biology : a user's guide to path analysis, structural equations, and causal inference /
Written in a jargon-free, conversational style, this book explores the relationship between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduc...
Call Number: | Libro Electrónico |
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Main Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Cambridge, UK ; New York, NY. USA :
Cambridge University Press,
2000.
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Subjects: | |
Online Access: | Texto completo |
Table of Contents:
- Cover; Half-title; Title; Copyright; Dedication; Contents; 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 Nested models and multilevel models; 8 Exploration, discovery and equivalence; Appendix; References; Index.