Peng Ding
1 book
About the Author
Peng Ding is a scholar and author whose work centers on causal inference, statistical reasoning, and the methods used to understand cause-and-effect relationships in data. Through clear explanations and careful attention to foundational ideas, Ding makes sophisticated statistical concepts accessible to students, researchers, and practitioners across the social, health, and behavioral sciences. His writing connects theory with practical application, helping readers develop both technical fluency and a critical understanding of evidence. Ding is the author of A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science), a resource for learning the principles and tools of modern causal analysis.
Common genres
Writing style
clear
rigorous
accessible
Books by Peng Ding
