Logistic.Regression-A.Self.Learning.Text

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14 Kas 2005
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omment from the Stata technical group
This book, the second edition of the 1994 text, succeeds in demonstrating that one need not be a mathematician to fully understand the underpinnings of logistic regression in all its forms. Ideally suited for a graduate course for students in the medical sciences, the text has the look and feel of a course textbook, with formulas, diagrams, and important points set off in the side margins for emphasis. Also, each chapter contains a summary, detailed outline, practice exercises (with answers), and chapter test.

The mathematics is kept to the most basic level, but nevertheless, because of its completeness in coverage of logistic regression, this text would be a good reference for even the most theoretical statistician. In fact, those already well versed in logistic regression methods will benefit from seeing advanced topics such as generalized estimating equations (GEE) explained from first principles.

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