with applications to linear models, logistic and ordinal regression, and survival analysis /
Frank E. Harrell, Jr.
Second edition.
xxv, 582 pages :
illustrations (some color) ;
27 cm
Springer series in statistics,
0172-7397
Includes bibliographical references (pages 539-570) and index.
Introduction -- General Aspects of Fitting Regression Models -- Missing Data -- Multivariable Modeling Strategies -- Describing, Resampling, Validating and Simplifying the Model -- R Software -- Modeling Longitudinal Responses using Generalized Least Squares -- Case Study in Data Reduction -- Overview of Maximum Likelihood Estimation -- Binary Logistic Regression -- Binary Logistic Regression Case Study 1 -- Logistic Model Case Study 2: Survival of Titanic Passengers -- Ordinal Logistic Regression -- Case Study in Ordinal Regression, Data Reduction and Penalization.- Regression Models for Continuous Y and Case Study in Ordinal Regression -- Transform-Both-Sides Regression -- 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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This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools.