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Chapman and Hall/CRC A First Course in Causal Inference

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Description

Expand your statistical knowledge with A First Course in Causal Inference from Chapman and Hall/CRC. This textbook addresses the growing interest in causal inference across biomedical research, social sciences, and artificial intelligence. Based on a successful course taught at UC Berkeley for seven years, this book provides a statistical perspective on the subject. Designed for accessibility, the text assumes minimal prior knowledge of causal inference. It is ideal for students and researchers who possess a basic understanding of probability theory, statistical inference, and linear or logistic regressions. To support your learning, the book includes an appendix that reviews fundamental probability and statistics concepts, making it a practical resource for mastering complex research methodologies.

Key Features

This Chapman and Hall/CRC textbook provides a comprehensive statistical perspective on causal inference for modern research applications.

The content is based on an established curriculum taught at UC Berkeley over a seven-year period.

Designed for accessibility, the material requires only basic knowledge of probability theory, statistical inference, and linear or logistic regressions.

An included appendix reviews basic probability and statistics to support readers with minimal prior causal inference knowledge.

The text addresses essential applications in fields such as biomedical research, social sciences, and artificial intelligence.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 June 2024
Listed Since
07 December 2023

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