Rosenbaum, Paul R.
Causal Inference (The MIT Press Essential Knowledge series)
- ISBN 13:
- 9780262545198
- author:
- Rosenbaum, Paul R.
- format:
- Paperback
- publisher:
- MIT Press
- language:
- English
- Publication Year:
- 2023
- Pages:
- 232
- Dimensions:
- 18.3 x 13 x 1.8 centimetres (0.3
- Genre:
- Science, Mathematics, Statistics,
- Condition:
- New
- Availability:
- Item usually sent within 6 working days
Description
Causal Inference provides a clear and concise introduction to modern causal inference, using real-world examples from medicine, economics, and public policy. This guide covers key concepts such as randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. The book illustrates these ideas with practical examples, helping readers understand how to identify cause-and-effect relationships in various fields. From the impact of antiviral drugs on Ebola virus patients to the effects of winning the lottery on financial stability, Causal Inference offers a comprehensive overview of modern causal inference methods. With its nontechnical approach and focus on real-world applications, this book is an ideal resource for anyone looking to understand and apply causal inference in their work or studies.
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