The book of Shipley provides an easy to read introduction in the field of structural equations and causal inference from experimental data. Most concepts are very well explained and examples are provided to see how to apply the concepts practically. Without any reservation I recommend it to none exp
Cause and correlation in biology : a user's guide to path analysis, structural equations and causal inference
β Scribed by Hernan M.A., Robins J.M.
- Year
- 2019
- Tongue
- English
- Leaves
- 284
- Edition
- book draft
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content: 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.
β¦ Subjects
Biometry.;BiomeΜtrie.;Biometrie.;Statistische methoden.;Biostatistik
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Bill Shipley explores the logical and methodological relationships between correlation and causation. He presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations where it is not possible to conduct randomized, or exp
Bill Shipley explores the logical and methodological relationships between correlation and causation. He presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations where it is not possible to conduct randomized, or exp
The book of Shipley provides an easy to read introduction in the field of structural equations and causal inference from experimental data. Most concepts are very well explained and examples are provided to see how to apply the concepts practically. Without any reservation I recommend it to none exp