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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
Language: en
Pages: 448
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2004-09-03 - Publisher: John Wiley & Sons

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This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, i
Applied Bayesian Modeling and Causal Inference from Incomplete-data Perspectives
Language: en
Pages: 0
Authors: Andrew Gelman
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Missing Data in Longitudinal Studies
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Authors: Michael J. Daniels
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Type: BOOK - Published: 2008-03-11 - Publisher: CRC Press

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Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling an
Applied Bayesian Modelling
Language: en
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Authors: Peter Congdon
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Type: BOOK - Published: 2014-05-23 - Publisher: John Wiley & Sons

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This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tr
Causal Inference in Statistics, Social, and Biomedical Sciences
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Authors: Guido W. Imbens
Categories: Business & Economics
Type: BOOK - Published: 2015-04-06 - Publisher: Cambridge University Press

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This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.