Statistical models and causal inference: a dialogue with the social sciences
David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman ma...
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2009
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| Subjects: | |
| Links: | https://doi.org/10.1017/CBO9780511815874 https://doi.org/10.1017/CBO9780511815874 https://doi.org/10.1017/CBO9780511815874 |
| Summary: | David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (xvi, 399 pages) |
| ISBN: | 9780511815874 |
| DOI: | 10.1017/CBO9780511815874 |
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| contents | Editor's introduction: inference and shoe leather -- Statistical modeling: foundations and limitations -- issues in the foundations of statistics : probability and statistical models -- Statistical assumptions as empirical commitements -- Statistical models and shoe leather -- Studies in political science, public policy, and epidemiology -- Methods for Census 2000 and statistical adjustments -- On "solutions" to the ecological inference problem -- Rejoinder to king -- Black ravens, white shoes, and case selection : inference with categorical variables -- What is the chance of an earthquake -- Salt and blood pressure : conventional wisdom reconsidered -- The Swine Flu vaccine and Guillain-Barré syndrome : a case study in relative risk and specific causation -- Survival analysis : an epidemiological hazard? -- New developments : progress or regress? -- On regression adjustments in experiments with several treatments -- Randomization does not justify logistic regression -- The grand leap -- On specifying graphical models for causation, and the identification problem -- Weighting regressions by propensity scores -- On the so-called "Huber Sandwich Estimator" and "Robust Standard Errors" -- Endogeneity in probit response models -- Diagnostics cannot have much power against general alternatives -- Shoe leather revisited -- On types of scientific inquiry : the role of qualitative reasoning |
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| discipline | Soziologie Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511815874 |
| format | Electronic eBook |
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| indexdate | 2024-12-20T17:49:19Z |
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| isbn | 9780511815874 |
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| spelling | Freedman, David 1938-2008 Verfasser aut Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark Statistical Models & Causal Inference Cambridge Cambridge University Press 2009 1 online resource (xvi, 399 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Editor's introduction: inference and shoe leather -- Statistical modeling: foundations and limitations -- issues in the foundations of statistics : probability and statistical models -- Statistical assumptions as empirical commitements -- Statistical models and shoe leather -- Studies in political science, public policy, and epidemiology -- Methods for Census 2000 and statistical adjustments -- On "solutions" to the ecological inference problem -- Rejoinder to king -- Black ravens, white shoes, and case selection : inference with categorical variables -- What is the chance of an earthquake -- Salt and blood pressure : conventional wisdom reconsidered -- The Swine Flu vaccine and Guillain-Barré syndrome : a case study in relative risk and specific causation -- Survival analysis : an epidemiological hazard? -- New developments : progress or regress? -- On regression adjustments in experiments with several treatments -- Randomization does not justify logistic regression -- The grand leap -- On specifying graphical models for causation, and the identification problem -- Weighting regressions by propensity scores -- On the so-called "Huber Sandwich Estimator" and "Robust Standard Errors" -- Endogeneity in probit response models -- Diagnostics cannot have much power against general alternatives -- Shoe leather revisited -- On types of scientific inquiry : the role of qualitative reasoning David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views Sozialwissenschaften Social sciences / Statistical methods Linear models (Statistics) Causation Statistik (DE-588)4056995-0 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Empirische Forschung (DE-588)4300400-3 gnd rswk-swf Kausalität (DE-588)4030102-3 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Empirische Forschung (DE-588)4300400-3 s Statistik (DE-588)4056995-0 s Kausalität (DE-588)4030102-3 s DE-604 Collier, David 1942- edt Sekhon, Jasjeet Singh 1971- edt Stark, Philip B. edt Erscheint auch als Druckausgabe 978-0-521-12390-7 Erscheint auch als Druckausgabe 978-0-521-19500-3 https://doi.org/10.1017/CBO9780511815874 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Freedman, David 1938-2008 Statistical models and causal inference a dialogue with the social sciences Editor's introduction: inference and shoe leather -- Statistical modeling: foundations and limitations -- issues in the foundations of statistics : probability and statistical models -- Statistical assumptions as empirical commitements -- Statistical models and shoe leather -- Studies in political science, public policy, and epidemiology -- Methods for Census 2000 and statistical adjustments -- On "solutions" to the ecological inference problem -- Rejoinder to king -- Black ravens, white shoes, and case selection : inference with categorical variables -- What is the chance of an earthquake -- Salt and blood pressure : conventional wisdom reconsidered -- The Swine Flu vaccine and Guillain-Barré syndrome : a case study in relative risk and specific causation -- Survival analysis : an epidemiological hazard? -- New developments : progress or regress? -- On regression adjustments in experiments with several treatments -- Randomization does not justify logistic regression -- The grand leap -- On specifying graphical models for causation, and the identification problem -- Weighting regressions by propensity scores -- On the so-called "Huber Sandwich Estimator" and "Robust Standard Errors" -- Endogeneity in probit response models -- Diagnostics cannot have much power against general alternatives -- Shoe leather revisited -- On types of scientific inquiry : the role of qualitative reasoning Sozialwissenschaften Social sciences / Statistical methods Linear models (Statistics) Causation Statistik (DE-588)4056995-0 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Empirische Forschung (DE-588)4300400-3 gnd Kausalität (DE-588)4030102-3 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4055916-6 (DE-588)4300400-3 (DE-588)4030102-3 |
| title | Statistical models and causal inference a dialogue with the social sciences |
| title_alt | Statistical Models & Causal Inference |
| title_auth | Statistical models and causal inference a dialogue with the social sciences |
| title_exact_search | Statistical models and causal inference a dialogue with the social sciences |
| title_full | Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark |
| title_fullStr | Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark |
| title_full_unstemmed | Statistical models and causal inference a dialogue with the social sciences David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark |
| title_short | Statistical models and causal inference |
| title_sort | statistical models and causal inference a dialogue with the social sciences |
| title_sub | a dialogue with the social sciences |
| topic | Sozialwissenschaften Social sciences / Statistical methods Linear models (Statistics) Causation Statistik (DE-588)4056995-0 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Empirische Forschung (DE-588)4300400-3 gnd Kausalität (DE-588)4030102-3 gnd |
| topic_facet | Sozialwissenschaften Social sciences / Statistical methods Linear models (Statistics) Causation Statistik Empirische Forschung Kausalität |
| url | https://doi.org/10.1017/CBO9780511815874 |
| work_keys_str_mv | AT freedmandavid statisticalmodelsandcausalinferenceadialoguewiththesocialsciences AT collierdavid statisticalmodelsandcausalinferenceadialoguewiththesocialsciences AT sekhonjasjeetsingh statisticalmodelsandcausalinferenceadialoguewiththesocialsciences AT starkphilipb statisticalmodelsandcausalinferenceadialoguewiththesocialsciences AT freedmandavid statisticalmodelscausalinference AT collierdavid statisticalmodelscausalinference AT sekhonjasjeetsingh statisticalmodelscausalinference AT starkphilipb statisticalmodelscausalinference |