Causal Inference in Statistics: A Primer
Judea Pearl, Computer Science and Statistics, University
of California Los Angeles, USA
Madelyn Glymour, Philosophy, Carnegie Mellon University,
Nicholas P. Jewell, Biostatistics, University of California,
Causality is central to the understanding and use of data.
Without an understanding of cause effect relationships, we cannot