Book contents
- Frontmatter
- 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
Frontmatter
Published online by Cambridge University Press: 10 December 2009
- Frontmatter
- 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
Summary
- Type
- Chapter
- Information
- Cause and Correlation in BiologyA User's Guide to Path Analysis, Structural Equations and Causal Inference, pp. i - viPublisher: Cambridge University PressPrint publication year: 2000