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Observation and experiment : an introduction to causal inference / Paul R. Rosenbaum.

LIBRA Q175.32.C38 R67 2017
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Format:
Book
Author/Creator:
Rosenbaum, Paul R., author.
Language:
English
Subjects (All):
Science--Experiments.
Science.
Observation (Scientific method).
Inference.
Probabilities.
Physical Description:
xvi, 374 pages ; 25 cm
Place of Publication:
Cambridge, Massachusetts : Harvard University Press, 2017.
Summary:
We hear that a glass of red wine prolongs life, that alcohol is a carcinogen, that pregnant women should drink not a drop of alcohol. Major medical journals first claimed that hormone replacement therapy reduces the risk of heart disease, then reversed themselves and said it increases the risk of heart disease. What are the effects caused by consuming alcohol or by receiving hormone replacement therapy? These are causal questions, questions about the effects caused by treatments, policies or preventable exposures. Some causal questions can be studied in randomized trials, in which a coin is flipped to decide the treatment for the next experimental subject. Because randomized trials are not always practical, nor always ethical, many causal questions are investigated in non-randomized observational studies. The reversal of opinion about hormone replacement therapy occurred when a randomized clinical trial contradicted a series of earlier observational studies. Using minimal mathematics - high school algebra and coin flips -- and numerous examples, Observation and Experiment explains the key concepts and methods of causal inference. Examples of randomized experiments and observational studies are drawn from clinical medicine, economics, public health and epidemiology, clinical psychology and psychiatry.-- Provided by publisher.
Contents:
Part I. Randomized experiments: A randomized trial
Structure
Causal inference in randomized experiments
Irrationality and polio
Part II. Observational studies: Between observational studies and experiments
Natural experiments
Elaborate theories
Quasi-experimental devices
Sensitivity to bias
Design sensitivity
Matching techniques
Biases from general dispositions
Instruments
Conclusion.
Notes:
Includes bibliographical references and index.
ISBN:
9780674975576
067497557X
OCLC:
973481398

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