Regression Modeling Strategies
Springer-Verlag New York Inc.
978-1-4419-2918-1 (ISBN)
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.
Erscheint lt. Verlag | 1.12.2010 |
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Reihe/Serie | Springer Series in Statistics |
Zusatzinfo | XXIV, 572 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
ISBN-10 | 1-4419-2918-5 / 1441929185 |
ISBN-13 | 978-1-4419-2918-1 / 9781441929181 |
Zustand | Neuware |
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