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Causal inference for statistics, soc...
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Imbens, Guido,
Causal inference for statistics, social, and biomedical sciences :an introduction /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Causal inference for statistics, social, and biomedical sciences :Guido W. Imbens (Stanford University), Donald B. Rubin (Harvard University)
Reminder of title:
an introduction /
Author:
Imbens, Guido,
other author:
Rubin, Donald B.
Published:
New York :Cambridge University Press,2015.
Description:
xix, 625 p. :ills. ;26 cm.
Subject:
Social sciencesResearch.
ISBN:
9780521885881
Causal inference for statistics, social, and biomedical sciences :an introduction /
Imbens, Guido,
Causal inference for statistics, social, and biomedical sciences :
an introduction /Guido W. Imbens (Stanford University), Donald B. Rubin (Harvard University) - New York :Cambridge University Press,2015. - xix, 625 p. :ills. ;26 cm.
Includes bibliographical references (pages 591-604) and indexes.
Part I. Introduction; 1. Causality: the basic framework -- 2. A brief history of the potential-outcome approach to causal inference; 3. A Classification of assignment mechanisms --
ISBN: 9780521885881
LCCN: 2014020988Subjects--Topical Terms:
178448
Social sciences
--Research.
LC Class. No.: H62 / .I537 2015
Dewey Class. No.: 519.54
Causal inference for statistics, social, and biomedical sciences :an introduction /
LDR
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Causal inference for statistics, social, and biomedical sciences :
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an introduction /
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Guido W. Imbens (Stanford University), Donald B. Rubin (Harvard University)
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New York :
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Cambridge University Press,
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2015.
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xix, 625 p. :
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ills. ;
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26 cm.
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Includes bibliographical references (pages 591-604) and indexes.
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Part I. Introduction; 1. Causality: the basic framework -- 2. A brief history of the potential-outcome approach to causal inference; 3. A Classification of assignment mechanisms --
505
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Part II. Classical Randomized Experiments; 4. A taxonomy of classical randomized experiments -- 5. Fisher's exact P-values for completely randomized experiments -- 6. Neyman's repeated sampling approach to completely randomized experiments -- 7. Regression methods for completely randomized experiments -- 8. Model-based inference in completely randomized experiments -- 9. Stratified randomized experiments -- 10. Paired randomized experiments -- 11. Case study: an experimental evaluation of a labor-market program --
505
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$a
Part III. Regular Assignment Mechanisms: Design; 12. Unconfounded treatment assignment -- 13. Estimating the propensity score -- 14. Assessing overlap in covariate distributions -- 15. Design in observational studies: matching to ensure balance in covariate distributions -- 16. Design in observational studies: trimming to ensure balance in covariate distributions --
505
0
$a
Part IV. Regular Assignment Mechanisms: Analysis; 17. Subclassification on the propensity score -- 18. Matching estimators (Card-Krueger data) -- 19. A general method for estimating sampling variances for standard estimators for average causal effects -- 20. Inference for general causal estimands.
505
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Part V. Regular Assignment Mechanisms: Supplementary Analyses; 21. Assessing unconfoundedness -- 22. Sensitivity analysis and bounds --
505
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Part VI. Regular Assignment Mechanisms with Noncompliance: Analysis; 23. Instrumental variables analysis of randomized experiments with one-sided noncompliance -- 24. Instrumental-variables analysis of randomized experiments with two-sided noncompliance -- 25. Model-based analysis in instrumental variable settings: randomized experiments with two-sided noncompliance.
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Part VII. Conclusion; 26. Conclusions and extensions.
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Social sciences
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Causation.
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Inference.
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Rubin, Donald B.
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213989
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西方語文圖書區(四樓)
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1 records • Pages 1 •
1
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320000610313
西方語文圖書區(四樓)
1圖書
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1 records • Pages 1 •
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