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Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis

Author: Frank E Harrell
Publisher: New York : Springer, ©2001.
Series: Springer series in statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Emphasizes problem solving strategies that address the many issues arising when developing multivariable models. This book includes imputation methods for dealing with missing data effectively, and  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Frank E Harrell
ISBN: 0387952322 9780387952321
OCLC Number: 45820971
Description: xxii, 568 pages : illustrations ; 25 cm.
Contents: 1. Introduction --
2. General Aspects of Fitting Regression Models --
3. Missing Data --
4. Multivariable Modeling Strategies --
5. Resampling, Validating, Describing, and Simplifying the Model --
6. S-Plus Software --
7. Case Study in Least Squares Fitting and Interpretation of a Linear Model --
8. Case Study in Imputation and Data Reduction --
9. Overview of Maximum Likelihood Estimation --
10. Binary Logistic Regression --
11. Logistic Model Case Study 1: Predicting Cause of Death --
12. Logistic Model Case Study 2: Survival of Titanic Passengers --
13. Ordinal Logistic Regression --
14. Case Study in Ordinal Regression, Data Reduction, and Penalization --
15. Models Using Nonparametric Transformations of X and Y --
16. Introduction to Survival Analysis --
17. Parametric Survival Models --
18. Case Study in Parametric Survival Modeling and Model Approximation --
19. Cox Proportional Hazards Regression Model --
20. Case Study in Cox Regression.
Series Title: Springer series in statistics.
Responsibility: Frank E. Harrell, Jr.
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From the reviews: TECHNOMETRICS "The book is an ambitious, and mostly successful, attempt to disseminate effective strategies for the use of regression techniques. Many of the examples are from the Read more...

 
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