Observation and Experiment: An Introduction to Causal Inference

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:
Cover 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

Review :
The book is a very valuable contribution... Highly recommended. -- Carol Joyce Blumberg International Statistical Review A well-written and thoughtful reflection on the doing of causal inference from one of causal inference's noted experts. -- Jameson A. Quinn and Luke W. Miratrix Journal of the American Statistical Association The author's voice is an important element in the book's success. Rosenbaum is consistently clear and direct, and seems at times to be speaking directly to the reader. His excellent set of examples (twenty-five of them altogether) bring the more theoretical discussions to life. -- William J. Satzer MAA Reviews A treasure trove of considerations and strategies for making causal inferences from observational studies and experiments. The book is a joy to read and contains interesting material for readers at all levels of experience with causal inference. -- Dylan S. Small Observational Studies Rosenbaum is a gifted expositor, and as a result, this book is an outstanding introduction to the topic for anyone who is interested in understanding the basic ideas and approaches to causal inference. -- Joel B. Greenhouse and Edward H. Kennedy Psychometrika A researcher seeking instruction in the sophisticated use of [statistical significance] techniques may want to consult Observation and Experiment. -- James Ryerson New York Times Book Review Rosenbaum's book is, as would be expected, a carefully and precisely written treatment of its subject, reflecting superb statistical understanding, all communicated with the skill of a master teacher. -- Stephen M. Stigler, author of The Seven Pillars of Statistical Wisdom