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

Written for graduate students and researchers in biology without advanced statistical training, this book explains the process of testing cause-and effect hypotheses using statistical tools. Combining both theory and practice, learners are provided with step-by-step explanations for analysing data, using the dedicated R packages.