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Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)

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Description:A rigorous, systematic presentation of modern longitudinal analysis Longitudinal studies, employing repeated measurement of subjects over time, play a prominent role in the health and medical sciences as well as in pharmaceutical studies. An important strategy in modern clinical research, they provide valuable insights into both the development and persistence of disease and those factors that can alter the course of disease development. Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a rigorous and comprehensive description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models, including their underlying assumptions and relative merits. The book features: * A focus on practical applications, utilizing a wide range of examples drawn from real-world studies * Coverage of modern methods of regression analysis for correlated data * Analyses utilizing SAS(r) * Multiple exercises and "homework" problems for review An accompanying Web site features twenty-five real data sets used throughout the text, in addition to programming statements and selected computer output for the examples.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Applied Longitudinal Analysis (Wiley Series in Probability and Statistics). To get started finding Applied Longitudinal Analysis (Wiley Series in Probability and Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 0471214876

Description: A rigorous, systematic presentation of modern longitudinal analysis Longitudinal studies, employing repeated measurement of subjects over time, play a prominent role in the health and medical sciences as well as in pharmaceutical studies. An important strategy in modern clinical research, they provide valuable insights into both the development and persistence of disease and those factors that can alter the course of disease development. Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a rigorous and comprehensive description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models, including their underlying assumptions and relative merits. The book features: * A focus on practical applications, utilizing a wide range of examples drawn from real-world studies * Coverage of modern methods of regression analysis for correlated data * Analyses utilizing SAS(r) * Multiple exercises and "homework" problems for review An accompanying Web site features twenty-five real data sets used throughout the text, in addition to programming statements and selected computer output for the examples.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Applied Longitudinal Analysis (Wiley Series in Probability and Statistics). To get started finding Applied Longitudinal Analysis (Wiley Series in Probability and Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)

Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)

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