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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:
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.
Statistical Methods in Longitudinal Research,2 Автор: Alexander von Eye Год: 2010 |
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Bayesian Inference: with ecological applications Автор: William A Link, Richard J Barker Год: 2009 |
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Modern NMR Spectroscopy: A Workbook of Chemical Problems Автор: Sanders J.K.M., Constable E.C., Hunter B.K. Год: 1989 |
FPGA Prototyping by Verilog Examples Автор: Chu P. P. Год: 2008 |