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

Michael J. Daniels, Joseph W. Hogan




[PDF.mx11] Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

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 | #2053320 in Books |  2008-03-11 | Original language:English | PDF # 1 |  9.30 x.89 x6.49l,1.32 | File type: PDF | 328 pages

||53 of 53 people found the following review helpful.| great new book on the subject, good at theory and practice|By Michael R. Chernick|Issues of missing data in longitudinal studies are very important in the design and analysis of clinical trials. This is such an important statistical topic, that many excellent books have been written about it. One of the earliest and a landmark text was the book by Rubin and Little which wa

Drawing from the authors’ 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.

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You can specify the type of files you want, for your device.Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)   |  Michael J. Daniels, Joseph W. Hogan. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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