Fundamentals of Causal Inference, 1st Edition

Causal inference is a critical concept across various fields, including statistics and data science. Understanding causation, confounding, and methods of causal inference is essential for researchers and students alike. The book “Fundamentals of Causal Inference, 1st Edition,” authored by Babette A. Brumback, offers a thorough guide to mastering these concepts.

**Key Features of the Book:**
1. **Clear Explanation of Causal Concepts:** The book elucidates different confounding adjustment methods using potential outcomes and graphical models.
2. **Coverage of Various Techniques:** It delves into standardization, difference-in-differences estimation, the front-door method, instrumental variables estimation, and propensity ranking methods.
3. **Real-World Examples:** Through real data examples, simulation analyses, and R programming exercises, readers can apply the concepts learned effectively.
4. **Suitable for Various Disciplines:** While assuming a basic understanding of statistics and probability, the book is beneficial for seniors or graduate students in statistics, biostatistics, and data science, as well as Ph.D. students in disciplines such as epidemiology, pharmacy, and social sciences.

**About the Author:**
Babette A. Brumback, known for her expertise in causal inference, especially in time-dependent confounding and clustered data, ensures that this book provides valuable insights for mastering causal inference techniques.

**FAQs**

**1. Who is the author of the book “Fundamentals of Causal Inference, 1st Edition”?**
The book is authored by Babette A. Brumback, a Professor and Associate Chair for Education in the Department of Biostatistics at the University of Florida.

**2. What are some of the key topics covered in the book?**
The book covers topics such as confounding adjustment, standardization, difference-in-differences estimation, instrumental variables estimation, propensity ranking methods, effect-measure modification, and mediation analyses.

**3. Is calculus required to understand the concepts in the book?**
No, calculus is not a prerequisite for understanding the concepts presented in the book. However, comfort with mathematical notation and complex logical arguments is essential.

**4. Are there exercises included in the book for practice?**
Yes, the book includes exercises at the end of each chapter to help readers practice and reinforce their understanding of the concepts discussed.

**Conclusion:**
“Fundamentals of Causal Inference, 1st Edition” is a robust resource for individuals seeking to enhance their knowledge of causal inference techniques. With its clear explanations, practical examples, and focus on real-world applications, this book is indispensable for researchers, students, and professionals from diverse fields.

If you aspire to broaden your understanding of causal inference, this book is a must-read.