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Dynamic regression models for survival data
Torben Martinussen, Thomas H. Scheike · 2006 · 470 pages
Survival AnalysisRegression analysisFailure time data analysisSurvival analysis (Biometry)BiometryModels, statistical
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About this book
This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the aim of describing time-varying effects of explanatory variables. Use of the suggested models and methods is illustrated on real data examples, using the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets.
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