Observation and Experiment: An Introduction to Causal Inference
| Author | : | |
| Rating | : | 4.46 (851 Votes) |
| Asin | : | 067497557X |
| Format Type | : | paperback |
| Number of Pages | : | 400 Pages |
| Publish Date | : | 2014-12-28 |
| Language | : | English |
DESCRIPTION:
(Stephen M. 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. Stigler, author of The Seven Pillars of Statistical Wisdom)
Putzel Professor of Statistics at the Wharton School and a Senior Fellow of the Leonard Davis Institute of Health Economics, University of Pennsylvania. . Rosenbaum is Robert G. Paul R
In the daily news and the scientific literature, we are faced with conflicting claims about the effects caused by some treatments, behaviors, and policies. Some say that raising the minimum wage decreases inequality while others say it increases unemployment. A daily glass of wine prolongs life, or so we are told. How should we study such questions?Observation and Experiment is an introduction to causal inference from one of the field’s leading scholars. But because randomized trials are not always practical or ethical, many causal questions are investigated in nonrandomized observational studies. To illustrate, Rosenbaum draws examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry. Readers gain an understanding of the design and interpretation of randomized trials, the ways they differ from observational studies, and the techniques used to remove, investigate, and appraise bias in observational studies. Using minimal mathematics and statistics, Paul Rosenbaum explains key concepts and methods through scientific examples that make complex ideas concrete and abstract principles accessible.Some causal questions can be studied in randomized trials in wh