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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York, NY. USA :
Cambridge University Press,
2000.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Shipley, Bill, |d 1960- | |
| 245 | 1 | 0 | |a Cause and correlation in biology : |b a user's guide to path analysis, structural equations, and causal inference / |c Bill Shipley. |
| 260 | |a Cambridge, UK ; |a New York, NY. USA : |b Cambridge University Press, |c 2000. | ||
| 300 | |a 1 online resource (xii, 317 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references (pages 308-315) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | |a 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 conduct controlled experiments. | ||
| 546 | |a English. | ||
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