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Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition
John Wiley and Sons Ltd, April 2008, Pages: 416
Recent years have seen a major growth in the development of methods for analyzing survival time data. At the same time, there has been little in the statistical literature to guide researchers in health-related areas who study time-to-event data. This book fills this gap, providing a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and it offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies.
While the authors emphasize the proportional hazards model, descriptive methods and parametric models are also considered in some detail. Key topics covered in-depth include variable selection, identification of the scale of continuous covariates, the role of interactions in the model, interpretation of a fitted model, assessment of fit and model assumptions, regression diagnostics, and recurrent event models, frailty models, and additive models. Extensive discussions of commercially available statistical software and how to get the most out of them -- are presented when and where appropriate.
This book provides a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and it offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies.
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