Cause Effect And Everything In Between An Introduction To Causal Inference Aboozar Hadavand Inc
This practical guide provides an understanding of the science of causality and its implications for everyday decision-making. In the book "Cause, Effect, and Everything in Between," Aboozar Hadavand...
This practical guide provides an understanding of the science of causality and its implications for everyday decision-making. In the book "Cause, Effect, and Everything in Between," Aboozar Hadavand offers an easy-to-read and non-technical foundation for causal analysis, especially for readers without a strong background in mathematics and statistics....
This practical guide provides an understanding of the science of causality and its implications for everyday decision-making.
In the book "Cause, Effect, and Everything in Between," Aboozar Hadavand offers an easy-to-read and non-technical foundation for causal analysis, especially for readers without a strong background in mathematics and statistics. Instead of using statistical equations and mathematical theory, Hadavand focuses on developing the ability to analyze causes through a causal perspective.
Using familiar examples, such as the myth of the Swimmer's Deception, the relationship between sleep apnea and beard growth, and the link between smoking and dementia, Hadavand simplifies complex causal concepts.
The book begins with the definition of fundamental causal concepts, such as causal questions, causes, and effects. It then explores various types of causal analysis problems, graphical tools for expressing causality, the limitations of random trials, and methods for inferring causality from observational data.
Additionally, Hadavand debunks common misconceptions and teaches readers to deeply distinguish between correlation and causation, simplifying the concepts of confounding and causal diagrams. It is a concise and accessible introduction to causal analysis, including case studies at the end of each chapter with answers, equipping readers to understand and critically evaluate scientific findings related to causal claims.
Pages: 152, Dimensions: 14.2x14.2cm
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