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Bill Shipley - Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R - 9781107442597 - V9781107442597
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Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

€ 64.39
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Description for Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R Paperback. .
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 ... Read more

Product Details

Publisher
Cambridge University Press
Format
Paperback
Publication date
2016
Condition
New
Number of Pages
314
Place of Publication
Cambridge, United Kingdom
ISBN
9781107442597
SKU
V9781107442597
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Bill Shipley
Bill Shipley is a Professor in the Department of Biology at Université de Sherbrooke, Canada. His research interests centre upon plant ecophysiology, functional and community ecology, and statistical modelling. He is the author of From Plant Traits to Vegetation Structure: Chance and Selection in the Assembly of Ecological Communities, published by Cambridge University Press.

Reviews for Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R
Review of previous edition: '… 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.' Structural Equation Modeling Review of previous edition: 'Addressing students and practising biologists, Shipley does a terrific job of making mathematical ... Read more

Goodreads reviews for Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R


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