Glymour, Madelyn
Causal Inference in Statistics: A Primer
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
Keywords: causal inference; cause effect relationships; interventions; tatistical methods; interpreting data; medicine; public policy; law; probability and statistics
- Author(s)
- Glymour, Madelyn
- Jewell, Nicholas P.
- Pearl, Judea
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2016
- Language
- en
- Edition
- 1
- Page amount
- 160 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (ePUB)
- 9781119186861
- Printed ISBN
- 9781119186847