Sinossi
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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Observation and Experiment: An Introduction to Causal Inference
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Harvard University Press, 2019
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Observation and Experiment: An Introduction to Causal Inference
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Observation and Experiment An Introduction to Causal Inference
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Paperback. Condizione: new. Paperback. In the daily news and the scientific literature, we are faced with conflicting claims about the effects caused by some treatments, behaviors, and policies. A daily glass of wine prolongs life, or so we are told. Yet we are also told that alcohol can cause life-threatening cancer and that pregnant women should abstain from drinking. Some say that raising the minimum wage decreases inequality while others say it increases unemployment. Investigators once confidently claimed that hormone replacement therapy reduces the risk of heart disease but today investigators confidently claim it raises that risk. How should we study such questions?Observation and Experiment is an introduction to causal inference from one of the field's leading scholars. 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 which coin flips assign individuals to treatments. 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. Observation and Experiment is a valuable resource for anyone with a serious interest in the empirical study of human health, behavior, and well-being. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780674241633
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Paperback. Condizione: New. 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. Codice articolo LU-9780674241633
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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. Codice articolo ABE-1767316989516
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