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      Observation and Experiment: An Introduction to Causal Inference

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      Firm sale: non returnable item
      SKU 9780674241633 Categories ,
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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 ...

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      Description

      Product ID:9780674241633
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Observation and Experiment
      Subtitle:An Introduction to Causal Inference
      Authors:Author: Paul Rosenbaum
      Page Count:400
      Subjects:Psychological methodology, Psychological methodology, Medical profession, Medical research, Epidemiology and Medical statistics, Medical sociology, Probability and statistics, Science: general issues, Scientific equipment, experiments and techniques, Impact of science and technology on society, Popular science, Medical profession, Medical research, Epidemiology & medical statistics, Medical sociology, Probability & statistics, Science: general issues, Scientific equipment, experiments & techniques, Impact of science & technology on society, Popular science
      Description:Select Guide Rating
      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
      Imprint Name:Harvard University Press
      Publisher Name:Harvard University Press
      Country of Publication:GB
      Publishing Date:2019-08-13

      Additional information

      Weight566 g
      Dimensions157 × 235 × 27 mm