Format:
1 Online-Ressource
Edition:
2nd revised edition
ISBN:
9781107442597
,
9781139979573
Content:
Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out statistical methods using the popular and freely available R statistical language. Sections on d-sep tests, latent constructs that are common in biology, missing values, phylogenetic constraints, and multilevel models are also an important feature of this new edition. Written for biologists and using a minimum of statistical jargon, the concept of testing multivariate causal hypotheses using structural equations and path analysis is demystified. Assuming only a basic understanding of statistical analysis, this new edition is a valuable resource for both students and practising biologists
Note:
Title from publisher's bibliographic system (viewed on 05 Apr 2016)
Additional Edition:
ISBN 9781107442597
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9781107442597
Language:
English
Subjects:
Biology
Keywords:
Biostatistik
DOI:
10.1017/CBO9781139979573
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
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