Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics
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Published By John Wiley & Sons, Ltd

9780470090459, 9780470090435

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Fixing Broken Experiments Using the Propensity Score

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch6 ◽

2005 ◽

pp. 61-71

Author(s):

Bruce Sacerdote

Keyword(s):

Propensity Score

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Nonresponse Adjustment in Government Statistical Agencies: Constraints, Inferential Goals, and Robustness Issues

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch10 ◽

2005 ◽

pp. 109-115

Author(s):

John Eltinge

Keyword(s):

Statistical Agencies

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Wiley Series in Probability and Statistics

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.scard ◽

2005 ◽

pp. 409-416

Keyword(s):

Probability And Statistics

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Modeling the Covariance and Correlation Matrix of Repeated Measures

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch20 ◽

2005 ◽

pp. 215-226 ◽

Cited By ~ 1

Author(s):

W. John Boscardin ◽

Xiao Zhang

Keyword(s):

Repeated Measures ◽

Correlation Matrix

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Causal Inference with Instrumental Variables

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch8 ◽

2005 ◽

pp. 85-96

Author(s):

Junni L. Zhang

Keyword(s):

Causal Inference ◽

Instrumental Variables

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Matching in Observational Studies

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch2 ◽

2005 ◽

pp. 15-24 ◽

Cited By ~ 2

Author(s):

Paul R. Rosenbaum

Keyword(s):

Observational Studies

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The Sampling/Importance Resampling Algorithm

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch24 ◽

2005 ◽

pp. 265-276 ◽

Cited By ~ 2

Author(s):

Kim-Hung Li

Keyword(s):

Sampling Importance Resampling ◽

Importance Resampling

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Robit Regression: A Simple Robust Alternative to Logistic and Probit Regression

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch21 ◽

2005 ◽

pp. 227-238 ◽

Cited By ~ 21

Author(s):

Chuanhai Liu

Keyword(s):

Probit Regression

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Treatment Effects in Before-After Data

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch18 ◽

2005 ◽

pp. 195-202

Author(s):

Andrew Gelman

Keyword(s):

Treatment Effects

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Designs Producing Balanced Missing Data: Examples from the National Assessment of Educational Progress

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics ◽

10.1002/0470090456.ch14 ◽

2005 ◽

pp. 153-162

Author(s):

Neal Thomas

Keyword(s):

Missing Data ◽

Educational Progress ◽

National Assessment

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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By John Wiley & Sons, Ltd

Fixing Broken Experiments Using the Propensity Score

Nonresponse Adjustment in Government Statistical Agencies: Constraints, Inferential Goals, and Robustness Issues

Wiley Series in Probability and Statistics

Modeling the Covariance and Correlation Matrix of Repeated Measures

Causal Inference with Instrumental Variables

Matching in Observational Studies

The Sampling/Importance Resampling Algorithm

Robit Regression: A Simple Robust Alternative to Logistic and Probit Regression

Treatment Effects in Before-After Data

Designs Producing Balanced Missing Data: Examples from the National Assessment of Educational Progress

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives - Wiley Series in Probability and Statistics
Latest Publications