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A daily glass of wine prolongs lifeâ¿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 fieldâ¿s leading scholars. An award-winning professor at Wharton, Paul Rosenbaum explains key concepts…mehr

Produktbeschreibung
A daily glass of wine prolongs lifeâ¿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 fieldâ¿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. âCarefully and precisely writtenâ¿reflecting superb statistical understanding, all communicated with the skill of a master teacher.â?â¿Stephen M. Stigler, author of The Seven Pillars of Statistical WisdomâAn excellent introductionâ¿Well-written and thoughtfulâ¿from one of causal inferenceâ¿s noted experts.â?â¿Journal of the American Statistical AssociationâRosenbaum is a gifted expositorâ¿an outstanding introduction to the topic for anyone who is interested in understanding the basic ideas and approaches to causal inference.â?â¿PsychometrikaâA very valuable contributionâ¿Highly recommended.â?â¿International Statistical Review
Autorenporträt
Paul R. Rosenbaum