Observation and Experiment : : An Introduction to Causal Inference / / Paul R. Rosenbaum.

• Superior document: Title is part of eBook package: De Gruyter Harvard University Press Complete eBook-Package 2017
• VerfasserIn: Rosenbaum, Paul R.,
• Place / Publishing House: Cambridge, MA : : Harvard University Press, , [2018]; ©2017
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (400 p.) :; 13 graphs, 28 tables

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.

Table of Contents

Frontmatter -- Contents -- Preface -- Reading Options -- List of Examples -- Part I. Randomized Experiments -- 1. A Randomized Trial -- 2. Structure -- 3. Causal Inference in Randomized Experiments -- 4. Irrationality and Polio -- Part II. Observational Studies -- 5. Between Observational Studies and Experiments -- 6. Natural Experiments -- 7. Elaborate Theories -- 8. Quasi-experimental Devices -- 9. Sensitivity to Bias -- 10. Design Sensitivity -- 11. Matching Techniques -- 12. Biases from General Dispositions -- 13. Instruments -- 14. Conclusion -- Appendix: Bibliographic Remarks -- Notes -- Glossary: Notation and Technical Terms -- Suggestions for Further Reading -- Acknowledgments -- Index