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Observation and Experiment - An Introduction to Causal Inference (Paperback)
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Observation and Experiment - An Introduction to Causal Inference (Paperback)
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A daily glass of wine prolongs life-yet alcohol can cause
life-threatening cancer. Some say raising the minimum wage will
decrease inequality while others say it increases unemployment.
Scientists once confidently claimed that hormone replacement
therapy reduced the risk of heart disease but now they equally
confidently claim it raises that risk. What should we make of this
endless barrage of conflicting claims? Observation and Experiment
is an introduction to causal inference by one of the field's
leading scholars. An award-winning professor at Wharton, Paul
Rosenbaum explains key concepts and methods through lively examples
that make abstract principles accessible. He draws his examples
from clinical medicine, economics, public health, epidemiology,
clinical psychology, and psychiatry to explain how randomized
control trials are conceived and designed, how they differ from
observational studies, and what techniques are available to
mitigate their bias. "Carefully and precisely written...reflecting
superb statistical understanding, all communicated with the skill
of a master teacher." -Stephen M. Stigler, author of The Seven
Pillars of Statistical Wisdom "An excellent
introduction...Well-written and thoughtful...from one of causal
inference's noted experts." -Journal of the American Statistical
Association "Rosenbaum is a gifted expositor...an outstanding
introduction to the topic for anyone who is interested in
understanding the basic ideas and approaches to causal inference."
-Psychometrika "A very valuable contribution...Highly recommended."
-International Statistical Review
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