A First Course in Causal Inference by Ding, Peng

A First Course in Causal Inference

The past decade has witnessed an explosion of interest in research and education in causal inference, due...
CHF 73.15
CHF 73.15
SKU: 9781032758626
Product Type: Books
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Author: Peng Ding
Format: Hardcover
Language: English
Subtotal: CHF 73.15
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A First Course in Causal Inference by Ding, Peng

A First Course in Causal Inference

CHF 73.15

A First Course in Causal Inference

CHF 73.15
Author: Peng Ding
Format: Hardcover
Language: English

The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc. This textbook, based on the author's course on causal inference at UC Berkeley taught over the past seven years, only requires basic knowledge of probability theory, statistical inference, and linear and logistic regressions. It assumes minimal knowledge of causal inference, and reviews basic probability and statistics in the appendix. It covers causal inference from a statistical perspective and includes examples and applications from biostatistics and econometrics.

Key Features:

  • All R code and data sets available at Harvard Dataverse.
  • Solutions manual available for instructors.
  • Includes over 100 exercises.

This book is suitable for an advanced undergraduate or graduate-level course on causal inference, or postgraduate and PhD-level course in statistics and biostatistics departments.



Author: Peng Ding
Publisher: CRC Press
Published: 07/31/2024
Pages: 422
Binding Type: Hardcover
Weight: 2.18lbs
Size: 10.00h x 7.00w x 1.00d
ISBN: 9781032758626

About the Author

Peng Ding is an Associate Professor in the Department of Statistics at UC Berkeley. His research focuses on causal inference and its applications.


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