Author: Frank E. Harrell
Edition: Corrected
Publisher: Springer
Binding: Hardcover
ISBN: 0387952322
Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Medical books Regression Modeling Strategies. Medical books Regression Modeling Strategies. Regression Modeling Strategies
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Regression Modeling Strategies
Store Search search Title, ISBN and Author Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis by Frank E. Harrell, FE Harrell Estimated delivery 3-12 business days Format Hardcover Condition Brand New There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatf
author frank e harrell jr format hardback language english publication year 31 12 2001 series springer series in statistics subject mathematics sciences subject 2 mathematics title regression modeling strategies with applications to linear models logistic regression and survival analysis author frank e jr harrell publisher springer verlag publication date aug 01 2001 pages 568 binding hardcover edition 1 st ed 2001 corr 2 nd printing dimensions 7 00 wx 9 75 hx 1 25 d isbn 0387952322 subject ma
There are many books that are excellent sources of knowledge about individual stastical tools survival models general linear models etc but the art of data analysis is about choosing and using multiple tools In the words of Chatfield students typically know the technical details of regressin for example but not necessarily when and how to apply it This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies Whether analyzing risk factors adjusting for biases in observational studies or developing predictive models the
Medical Book Regression Modeling Strategies
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".
