Cause and correlation in biology: a user's guide to path analysis, structural equations, and causal inference
This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2000
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships 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 randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xii, 317 pages) |
ISBN: | 9780511605949 |
DOI: | 10.1017/CBO9780511605949 |
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Datensatz im Suchindex
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discipline | Biologie Wirtschaftswissenschaften |
doi_str_mv | 10.1017/CBO9780511605949 |
format | Electronic eBook |
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indexdate | 2024-07-10T07:39:19Z |
institution | BVB |
isbn | 9780511605949 |
language | English |
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spelling | Shipley, Bill 1960- Verfasser aut Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference Bill Shipley Cause & Correlation in Biology Cambridge Cambridge University Press 2000 1 online resource (xii, 317 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships 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 randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics Biometry Biometrie (DE-588)4124925-2 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Biostatistik (DE-588)4729990-3 s 1\p DE-604 Biometrie (DE-588)4124925-2 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-52921-1 Erscheint auch als Druckausgabe 978-0-521-79153-3 https://doi.org/10.1017/CBO9780511605949 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Shipley, Bill 1960- Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference Biometry Biometrie (DE-588)4124925-2 gnd Biostatistik (DE-588)4729990-3 gnd |
subject_GND | (DE-588)4124925-2 (DE-588)4729990-3 |
title | Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference |
title_alt | Cause & Correlation in Biology |
title_auth | Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference |
title_exact_search | Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference |
title_full | Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference Bill Shipley |
title_fullStr | Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference Bill Shipley |
title_full_unstemmed | Cause and correlation in biology a user's guide to path analysis, structural equations, and causal inference Bill Shipley |
title_short | Cause and correlation in biology |
title_sort | cause and correlation in biology a user s guide to path analysis structural equations and causal inference |
title_sub | a user's guide to path analysis, structural equations, and causal inference |
topic | Biometry Biometrie (DE-588)4124925-2 gnd Biostatistik (DE-588)4729990-3 gnd |
topic_facet | Biometry Biometrie Biostatistik |
url | https://doi.org/10.1017/CBO9780511605949 |
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