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Cause and correlation in biology : a user's guide to path analysis, structural equations, and causal inference

Author: Bill Shipley
Publisher: Cambridge, UK ; New York, NY. USA : Cambridge University Press, 2000.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Shipley, Bill, 1960-
Cause and correlation in biology.
Cambridge, UK ; New York, NY. USA : Cambridge University Press, 2000
(DLC) 00037918
(OCoLC)43798476
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Bill Shipley
ISBN: 0511017723 9780511017728 0511152558 9780511152559 0511173482 9780511173486 9780511605949 0511605943 9780521791533 0521791537 128043001X 9781280430015
OCLC Number: 56416060
Description: 1 online resource (xii, 317 pages) : illustrations
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.
Responsibility: Bill Shipley.
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Abstract:

Explores the relationship between correlation and causation using a series of novel statistical methods.  Read more...

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'... the perfect introduction to SEM. This book can be used as the primary text in a SEM course given within any discipline, and can be used by scholars and researchers from any area of science.' Read more...

 
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