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Causal Inference for Statistics, Social, and Biomedical Sciences
monograph
Author(s):
Guido W. Imbens
,
Donald B. Rubin
Publication date
(Online):
May 05 2015
Publisher:
Cambridge University Press
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Author and book information
Book
ISBN (Print):
9780521885881
ISBN (Electronic):
9781139025751
Publication date (Online):
May 05 2015
Publication date (Print):
April 06 2015
DOI:
10.1017/CBO9781139025751
SO-VID:
608b84de-248e-4ad8-b9b4-f4daa34b71d6
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Book chapters
pp. xvii
Preface
pp. 3
Causality: The Basic Framework
pp. 23
A Brief History of the Potential Outcomes Approach to Causal Inference
pp. 31
A Classification of Assignment Mechanisms
pp. 47
A Taxonomy of Classical Randomized Experiments
pp. 57
Fisher's Exact P-Values for Completely Randomized Experiments
pp. 83
Neyman's Repeated Sampling Approach to Completely Randomized Experiments
pp. 113
Regression Methods for Completely Randomized Experiments
pp. 141
Model-Based Inference for Completely Randomized Experiments
pp. 187
Stratified Randomized Experiments
pp. 219
Pairwise Randomized Experiments
pp. 240
Case Study: An Experimental Evaluation of a Labor Market Program
pp. 257
Unconfounded Treatment Assignment
pp. 281
Estimating the Propensity Score
pp. 309
Assessing Overlap in Covariate Distributions
pp. 337
Matching to Improve Balance in Covariate Distributions
pp. 359
Trimming to Improve Balance in Covariate Distributions
pp. 377
Subclassification on the Propensity Score
pp. 401
Matching Estimators
pp. 433
A General Method for Estimating Sampling Variances for Standard Estimators for Average Causal Effects
pp. 461
Inference for General Causal Estimands
pp. 479
Assessing Unconfoundedness
pp. 496
Sensitivity Analysis and Bounds
pp. 513
Instrumental Variables Analysis of Randomized Experiments with One-Sided Noncompliance
pp. 542
Instrumental Variables Analysis of Randomized Experiments with Two-Sided Noncompliance
pp. 560
Model-Based Analysis in Instrumental Variable Settings: Randomized Experiments with Two-Sided Noncompliance
pp. 591
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