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Regression Modeling Strategies

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Regression Modeling Strategies

With Applications to Linear Models, Logistic Regression, and Survival Analysis
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Hardback
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Description

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Release date NZ
December 31st, 2001
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Country of Publication
United States
Edition
2nd ed.
Illustrations
biography
Imprint
Springer-Verlag New York Inc.
Pages
572
Publisher
Springer-Verlag New York Inc.
Dimensions
178x254x33
ISBN-13
9780387952321
Product ID
2074308

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