The Resource 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 and causal inference : a dialogue with the social sciences, David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark
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The item Statistical models and causal inference : a dialogue with the social sciences, David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Statistical models and causal inference : a dialogue with the social sciences, David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 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 'lowtech' 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"Provided by publisher
 Language
 eng
 Extent
 xvi, 399 pages
 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 GuillainBarré 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 socalled "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
 Isbn
 9780521123907
 Label
 Statistical models and causal inference : a dialogue with the social sciences
 Title
 Statistical models and causal inference
 Title remainder
 a dialogue with the social sciences
 Statement of responsibility
 David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark
 Language
 eng
 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 'lowtech' 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"Provided by publisher
 Cataloging source
 ITFiEUI
 http://library.link/vocab/creatorDate
 19382008
 http://library.link/vocab/creatorName
 Freedman, David
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorDate

 1942
 1971
 http://library.link/vocab/relatedWorkOrContributorName

 Collier, David
 Sekhon, Jasjeet Singh
 Stark, Philip B
 http://library.link/vocab/subjectName

 Social sciences
 Linear models (Statistics)
 Causation
 Label
 Statistical models and causal inference : a dialogue with the social sciences, David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark
 Bibliography note
 Includes bibliographical references (pages [356]392) and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier.
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 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 GuillainBarré 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 socalled "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
 Control code
 FIEB16699816
 Dimensions
 25 cm.
 Extent
 xvi, 399 pages
 Isbn
 9780521123907
 Media category
 unmediated
 Media MARC source
 rdamedia.
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)457770262
 Label
 Statistical models and causal inference : a dialogue with the social sciences, David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark
 Bibliography note
 Includes bibliographical references (pages [356]392) and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier.
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 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 GuillainBarré 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 socalled "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
 Control code
 FIEB16699816
 Dimensions
 25 cm.
 Extent
 xvi, 399 pages
 Isbn
 9780521123907
 Media category
 unmediated
 Media MARC source
 rdamedia.
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)457770262
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