Non-Fiction Books:

A First Course in Causal Inference

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  • A First Course in Causal Inference on Hardback by Peng Ding
  • A First Course in Causal Inference on Hardback by Peng Ding
$231.00
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Description

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 Biography:

Peng Ding is an Associate Professor in the Department of Statistics at UC Berkeley. His research focuses on causal inference and its applications.
Release date NZ
June 18th, 2024
Author
Audience
  • Tertiary Education (US: College)
Illustrations
11 Tables, black and white; 51 Line drawings, black and white; 51 Illustrations, black and white
Pages
448
ISBN-13
9781032758626
Product ID
38435498

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