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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Massachusetts ; London, England
Harvard University Press
2019
|
| Ausgabe: | First Harvard University paperback edition |
| Schlagworte: | |
| 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: | Includes bibliographical references and index |
| Beschreibung: | xvi, 374 Seiten Diagramme |
| ISBN: | 9780674241633 |
Internformat
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| 246 | 1 | 3 | |a Observation & experiment |
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| 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.... | ||
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Datensatz im Suchindex
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| author | Rosenbaum, Paul R. |
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| dewey-hundreds | 000 - Computer science, information, general works |
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| discipline | Allgemeines Soziologie Psychologie Medizin |
| edition | First Harvard University paperback edition |
| format | Book |
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| indexdate | 2024-07-10T08:39:23Z |
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| isbn | 9780674241633 |
| language | English |
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| spelling | Rosenbaum, Paul R. Verfasser (DE-588)113862539 aut Observation and experiment an introduction to causal inference Paul R. Rosenbaum Observation & experiment First Harvard University paperback edition Cambridge, Massachusetts ; London, England Harvard University Press 2019 xvi, 374 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index 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.... Observation Research Science Decision Making Probability Epidemiologic Methods Philosophy, Medical Logic Naturwissenschaft Science Experiments Observation (Scientific method) Inference Probabilities Schlussfolgern (DE-588)4251178-1 gnd rswk-swf Forschung (DE-588)4017894-8 gnd rswk-swf Klinisches Experiment (DE-588)4164223-5 gnd rswk-swf Medizin (DE-588)4038243-6 gnd rswk-swf Medizin (DE-588)4038243-6 s Forschung (DE-588)4017894-8 s Klinisches Experiment (DE-588)4164223-5 s Schlussfolgern (DE-588)4251178-1 s DE-604 |
| spellingShingle | Rosenbaum, Paul R. Observation and experiment an introduction to causal inference Observation Research Science Decision Making Probability Epidemiologic Methods Philosophy, Medical Logic Naturwissenschaft Science Experiments Observation (Scientific method) Inference Probabilities Schlussfolgern (DE-588)4251178-1 gnd Forschung (DE-588)4017894-8 gnd Klinisches Experiment (DE-588)4164223-5 gnd Medizin (DE-588)4038243-6 gnd |
| subject_GND | (DE-588)4251178-1 (DE-588)4017894-8 (DE-588)4164223-5 (DE-588)4038243-6 |
| title | Observation and experiment an introduction to causal inference |
| title_alt | Observation & experiment |
| 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 | Observation Research Science Decision Making Probability Epidemiologic Methods Philosophy, Medical Logic Naturwissenschaft Science Experiments Observation (Scientific method) Inference Probabilities Schlussfolgern (DE-588)4251178-1 gnd Forschung (DE-588)4017894-8 gnd Klinisches Experiment (DE-588)4164223-5 gnd Medizin (DE-588)4038243-6 gnd |
| topic_facet | Observation Research Science Decision Making Probability Epidemiologic Methods Philosophy, Medical Logic Naturwissenschaft Science Experiments Observation (Scientific method) Inference Probabilities Schlussfolgern Forschung Klinisches Experiment Medizin |
| work_keys_str_mv | AT rosenbaumpaulr observationandexperimentanintroductiontocausalinference AT rosenbaumpaulr observationexperiment |