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BL
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| Record Number
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971794
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| Doc. No
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b726164
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| Main Entry
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Daniels, Michael Joseph.
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| Title & Author
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Missing data in longitudinal studies : : strategies for Bayesian modeling and sensitivity analysis /\ Michael J. Daniels, Joseph W. Hogan.
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| Publication Statement
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Boca Raton :: Chapman & Hall/CRC,, ©2008.
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| Series Statement
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Monographs on statistics and applied probability ;; 109
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| Page. NO
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1 online resource (xx, 303 pages) :: illustrations
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| ISBN
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1420011189
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: 9781420011180
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1584886099
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9781584886099
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| Bibliographies/Indexes
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Includes bibliographical references (pages 271-291) and indexes.
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| Contents
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Description of motivating examples -- Regression models -- Methods of Bayesian inference -- Worked examples using complete data -- Missing data mechanisms and longitudinal data -- Inference about full-data parameters under ignorability -- Case studies : ignorable missingness -- Models for handling nonignorable missingness -- Informative priors and sensitivity analysis -- Case studies : nonignorable missingness.
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| Abstract
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Focuses on how to handle missing data in longitudinal studies, offering coverage of models for longitudinal data, missing data mechanisms, and various approaches to sensitivity analysis. This book presents an overview of methods for dealing with missing data, with particular emphasis on handling dropout and causal inference.
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| Subject
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Bayesian statistical decision theory.
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Longitudinal method.
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Missing observations (Statistics)
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Sensitivity theory (Mathematics)
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Bayesian statistical decision theory.
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Longitudinal method.
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MATHEMATICS-- Probability Statistics-- General.
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Missing observations (Statistics)
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Sensitivity theory (Mathematics)
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| Dewey Classification
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519.5
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| LC Classification
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QA276.D3146 2008
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| Added Entry
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Hogan, Joseph W.
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