Titre: Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
�diteur: Springer
Date de parution: 2013
Langue: anglais
ISBN � 10 chiffres: 1475734638
ISBN � 13 chiffres: 9781475734638
Reliure: Couverture souple
�tat de l'article: New

A propos de ce titre

Synopsis

Introduction * General Aspects of Fitting Regression Models * Missing Data * Multivariable Modeling Strategies * Resampling, Validating, Describing, and Simplifying the Model * S-PLUS Software * Case Study in Least Squares Fitting and Interpretation of a Linear Model * Case Study in Imputation and Data Reduction * Overview of Maximum Likelihood Estimation * Binary Logistic Regression * Logistic Model Case Study 1: Predicting Cause of Death * Logistic Model Case Study 2: Survival of Titanic Passengers * Ordinal Logistic Regression * Case Study in Ordinal Regrssion, Data Reduction, and Penalization * Models Using Nonparametic Transformations of X and Y * Introduction to Survival Analysis * Parametric Survival Models * Case Study in Parametric Survival Modeling and Model Approximation * Cox Proportional Hazards Regression Model * Case Study in Cox Regression

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