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Observation and Experiment: An Introduction to Causal Inference
Harvard University Press, 2017 eISBN: 978-0-674-98269-7 | Cloth: 978-0-674-97557-6 Library of Congress Classification Q175.32.C38R67 2017 Dewey Decimal Classification 001.4340151954
ABOUT THIS BOOK
ABOUT THIS BOOK
In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples. See other books on: Epidemiology | Experiments | Introduction | Mathematics | Research & Methodology See other titles from Harvard University Press |
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Observation and Experiment: An Introduction to Causal Inference
ABOUT THIS BOOK
Harvard University Press, 2017
eISBN: 978-0-674-98269-7
Cloth: 978-0-674-97557-6
eISBN: 978-0-674-98269-7
Cloth: 978-0-674-97557-6
In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples.
ABOUT THIS BOOK
