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Generalized Linear Models: Theory and Applications
Generalized Linear Theory and Applications provides a comprehensive, practical introduction to generalized linear models that covers all of the main models and methods of estimation. Worked examples of real data are backed up by implementation in a range of software packages, including R, Stata, SAS, and LogiXact. The examples presented are taken predominantly from the health and social sciences, including health outcomes research, genetics, economics, education, and psychology. Material is supported by a website with data sets, software links, and further examples.
352 pages, Hardcover
Published June 15, 2010
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