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Books Books 1 - 10 of about 21 related to Multiple Imputation for Nonresponse in Surveys.    

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Donald B. Rubin, Andrew Gelman, Xiao-Li Meng - Mathematics - 2004 - 407 pages
This book brings together a collection of articles onstatistical methods relating to missing data analysis, includingmultiple imputation, propensity scores, instrumental ...
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Matched Sampling for Causal Effects

Donald B. Rubin - Mathematics - 2006
Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted ...
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Statistical Analysis with Missing Data

Roderick J. A. Little, Donald B. Rubin - Mathematics - 2014
Praise for the First Edition of Statistical Analysis with Missing Data "An important contribution to the applied statistics literature.... I give the book high marks for ...
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Bayesian Data Analysis, Third Edition

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin - Mathematics - 2013 - 675 pages
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and ...
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Causal Inference in Statistics, Social, and Biomedical Sciences: An Introduction

Guido W. Imbens, Donald B. Rubin - Mathematics - 2015
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this ...
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Statistical Analysis With Missing Data

Roderick J. A. Little - Mathematics - 1987 - 278 pages
Missing data in experiments. Maximum likelihood for general patterns of missing data: introduction and theory with ignorable nonresponse. Maximum likelihood estimation for ...
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Analysis of Incomplete Multivariate Data

J.L. Schafer - Mathematics - 1997 - 448 pages
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain ...
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