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Viser: Cause, Effect, and Everything in Between - An Introduction to Causal Inference
Cause, Effect, and Everything in Between
An Introduction to Causal Inference
Aboozar Hadavand
(2025)
Sprog: Engelsk
Oxford University Press, Incorporated
234,00 kr.
Denne bog er endnu ikke udgivet. Den forventes Nov 2025.
Detaljer om varen
- Paperback: 160 sider
- Udgiver: Oxford University Press, Incorporated (November 2025)
- ISBN: 9780197801789
A practical guide to understanding the science of cause-and-effect for everyday decision-making.In Cause, Effect, and Everything in Between, Aboozar Hadavand provides an easy-to-read and non-technical foundation to causal inference, especially for readers without a strong background in math and statistics. Rather than using statistical equations and mathematical theory, Hadavand focuses on developing readers' ability to analyze causal questions through a causal perspective. Using relatable examples, including the myth of the Swimmer's Body Illusion, the relationship between sleep apnea and growing a beard, and the relationship between smoking and dementia, Hadavand simplifies complex causal ideas.The book starts by defining the fundamental concepts of causality, such as causal questions, causes, and effects. It then explores different types of causal inference problems, graphical tools for expressing causality, the shortcomings of randomized trials, and methods for inferring causality from observational data. Further, Hadavand debunks common misconceptions and teaches readers to differentiate between correlation and causation at a deep level by simplifying the concept of confounding bias and causal graphs. A concise and accessible introduction to causal inference that also includes end-of-chapter case studies with answers, this book equips readers to understand and critique scientific findings involving causal claims.
Preface1. What Is Causality?2. The Causal Framework3. Causal Graphs and Causal Paths4. Causal Inference Using Interventional Data5. Causal Inference Using Observational Data6. Quasi-Experimental Methods7. A Framework for Evaluating Causal Studies8. Causal Case StudiesAnswers to End-of-
Chapter QuestionsIndex
Chapter QuestionsIndex
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