Causal inference in statistics: A primer
- United Kingdom John Wiley & Sons, Inc. 2016
- xvii, 136 p. Includes bibliographical reference and index
Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data.