Observation and experiment :: an introduction to causal inference /
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 he...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Cambridge, Massachusetts :
Harvard University Press,
2017.
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| Zusammenfassung: | 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-- |
| Beschreibung: | 1 online resource (xvi, 374 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780674982697 067498269X |
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| 505 | 0 | |a 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. | |
| 520 | |a 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-- |c Provided by publisher. | ||
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| 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. |
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| spelling | Rosenbaum, Paul R., author. Observation and experiment : an introduction to causal inference / Paul R. Rosenbaum. Cambridge, Massachusetts : Harvard University Press, 2017. ©2017 1 online resource (xvi, 374 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 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. 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. Print version record. Science Experiments. http://id.loc.gov/authorities/subjects/sh85118567 Observation (Scientific method) http://id.loc.gov/authorities/subjects/sh87001905 Inference. http://id.loc.gov/authorities/subjects/sh85066082 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Observation https://id.nlm.nih.gov/mesh/D019370 Probability https://id.nlm.nih.gov/mesh/D011336 Sciences Expériences. Observation (Méthode scientifique) Inférence (Logique) Probabilités. probability. aat REFERENCE Questions & Answers. bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Inference fast Observation (Scientific method) fast Probabilities fast Science Experiments fast Electronic book. has work: Observation and experiment (Text) https://id.oclc.org/worldcat/entity/E39PCGk6Mk7BxwpCbxcgPWT7f3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Rosenbaum, Paul R. Observation and experiment. Cambridge, Massachusetts : Harvard University Press, 2017 9780674975576 (DLC) 2017000681 (OCoLC)973481398 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1561257 Volltext |
| spellingShingle | Rosenbaum, Paul R. Observation and experiment : an introduction to causal inference / 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. Science Experiments. http://id.loc.gov/authorities/subjects/sh85118567 Observation (Scientific method) http://id.loc.gov/authorities/subjects/sh87001905 Inference. http://id.loc.gov/authorities/subjects/sh85066082 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Observation https://id.nlm.nih.gov/mesh/D019370 Probability https://id.nlm.nih.gov/mesh/D011336 Sciences Expériences. Observation (Méthode scientifique) Inférence (Logique) Probabilités. probability. aat REFERENCE Questions & Answers. bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Inference fast Observation (Scientific method) fast Probabilities fast Science Experiments fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85118567 http://id.loc.gov/authorities/subjects/sh87001905 http://id.loc.gov/authorities/subjects/sh85066082 http://id.loc.gov/authorities/subjects/sh85107090 https://id.nlm.nih.gov/mesh/D019370 https://id.nlm.nih.gov/mesh/D011336 |
| title | Observation and experiment : an introduction to causal inference / |
| title_auth | Observation and experiment : an introduction to causal inference / |
| title_exact_search | Observation and experiment : an introduction to causal inference / |
| title_full | Observation and experiment : an introduction to causal inference / Paul R. Rosenbaum. |
| title_fullStr | Observation and experiment : an introduction to causal inference / Paul R. Rosenbaum. |
| title_full_unstemmed | Observation and experiment : an introduction to causal inference / Paul R. Rosenbaum. |
| title_short | Observation and experiment : |
| title_sort | observation and experiment an introduction to causal inference |
| title_sub | an introduction to causal inference / |
| topic | Science Experiments. http://id.loc.gov/authorities/subjects/sh85118567 Observation (Scientific method) http://id.loc.gov/authorities/subjects/sh87001905 Inference. http://id.loc.gov/authorities/subjects/sh85066082 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Observation https://id.nlm.nih.gov/mesh/D019370 Probability https://id.nlm.nih.gov/mesh/D011336 Sciences Expériences. Observation (Méthode scientifique) Inférence (Logique) Probabilités. probability. aat REFERENCE Questions & Answers. bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Inference fast Observation (Scientific method) fast Probabilities fast Science Experiments fast |
| topic_facet | Science Experiments. Observation (Scientific method) Inference. Probabilities. Observation Probability Sciences Expériences. Observation (Méthode scientifique) Inférence (Logique) Probabilités. probability. REFERENCE Questions & Answers. MATHEMATICS / Probability & Statistics / General Inference Probabilities Science Experiments Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1561257 |
| work_keys_str_mv | AT rosenbaumpaulr observationandexperimentanintroductiontocausalinference |