Science/Engineering Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Monographs on Statistics and (1584886099)

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Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Monographs on Statistics and Applied Probability)

Drawing from the authorsâ€™ own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the authors employ several data sets throughout that cover a range of study designs, variable types, and missing data issues.

The book first reviews modern approaches to formulate and interpret regression models for longitudinal data. It then discusses key ideas in Bayesian inference, including specifying prior distributions, computing posterior distribution, and assessing model fit. The book carefully describes the assumptions needed to make inferences about a full-data distribution from incompletely observed data. For settings with ignorable dropout, it emphasizes the importance of covariance models for inference about the mean while for nonignorable dropout, the book studies a variety of models in detail. It concludes with three case studies that highlight important features of the Bayesian approach for handling nonignorable missingness.

With suggestions for further reading at the end of most chapters as well as many applications to the health sciences, this resource offers a unified Bayesian approach to handle missing data in longitudinal studies.

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	Science/Engineering Longitudinal Data Analysis (Wiley Series in Probability and Statistics) Longitudinal Data Analysis (Wiley Series in Probability and Statistics)Wiley-Interscience \| 2006-04-07 \| ISBN: 0471420271 \| 360 Pages \| 2.23 MB \| DJVULongitudinal data analysis for biomedical and behavioral sciences This innovative book set ...
	Programming Modeling Longitudinal Data (Springer Texts in Statistics) Robert E. Weiss “Modeling Longitudinal Data (Springer Texts in Statistics)" Springer \| 2005-06-28 \| ISBN:0387402713 \| 432 pages \| PDF \| 2.5 Mb
	Science/Engineering Bayesian Analysis of Gene Expression Data (Statistics in Practice) Bayesian Analysis of Gene Expression Data (Statistics in Practice) Publisher:Wiley\| Pages:252 \| 2009-09-22 \| ISBN:0470517662 \| PDF \| 2 MBThe field of high-throughput genetic experimentation is evolving rapidly, with the advent of new tech ...
	Science/Engineering Antedependence Models for Longitudinal Data (Monographs on Statistics and Applied Probability) Dale L. Zimmerman, Vicente A. Nunez-Anton, "Antedependence Models for Longitudinal Data (Monographs on Statistics and Applied Probability)" Chapman & Hall/CRC \| 2009 \| ISBN: 1420064266 \| 288 pages \| PDF \| 2,3 MB Although antedependenc ...
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	Technical Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) ISBN: 1584886099 Publisher: Chapman and Hall/CRC Author: Michael J. Daniels, Joseph W. HoganDescription:Drawing from the authorsâ own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strate ...

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