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CRC Press Fundamentals of Causal Inference: With R Textbook

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Description

Fundamentals of Causal Inference: With R provides a comprehensive guide for researchers and students aiming to master the rationale and methods of causal inference. Part of the Chapman & Hall/CRC Texts in Statistical Science series, this textbook addresses the essential challenge of disentangling causation from confounding in clinical trials and observational studies. Each chapter is designed to bridge theory and practice by providing R implementations of introduced causal concepts and models. This resource is ideal for those studying human-centered research where inferring cause and effect is the primary motivation. The text concludes with appropriate exercises to reinforce learning and ensure practical application of the statistical methods discussed.

Key Features

This textbook from CRC Press serves as a guide for researchers and students to understand causal inference methods.

Each chapter includes an R implementation of the introduced causal concepts and models for practical application.

The book addresses the vital task of disentangling causation from confounding in observational studies and clinical trials.

Exercises are included at the end of chapters to help students practice the statistical models presented.

This volume is part of the Chapman & Hall/CRC Texts in Statistical Science series for specialized learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 November 2021
Listed Since
11 May 2021

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