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Applied Bayesian Modeling And Causal Inference From Incomplete-Data Perspectives

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Originally published September 2004
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ID1690001
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About Applied Bayesian Modeling And Causal Inference From Incomplete-Data Perspectives


This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. . . .

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