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A First Course in Causal Inference
Hardback

A First Course in Causal Inference

$136.99
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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.

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MORE INFO
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
31 July 2024
Pages
422
ISBN
9781032758626

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.

Read More
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
31 July 2024
Pages
422
ISBN
9781032758626