Description: 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.
Price: 93.15 AUD
Location: Hillsdale, NSW
End Time: 2025-02-07T20:43:24.000Z
Shipping Cost: 30.84 AUD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 60 Days
Return policy details:
EAN: 9781107442597
UPC: 9781107442597
ISBN: 9781107442597
MPN: N/A
Book Title: Cause and Correlation in Biology: A User's Guide t
Item Length: 24.9 cm
Number of Pages: 314 Pages
Publication Name: Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference with R
Language: English
Publisher: Cambridge University Press
Item Height: 246 mm
Subject: Medicine, Mathematics
Publication Year: 2016
Type: Textbook
Item Weight: 630 g
Author: Bill Shipley
Item Width: 173 mm
Format: Paperback
