This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.
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挺好的一本书,从nonparametric开始讲起到后面的estimation和testing,但是没有涉及特别的counting process的证明的东西,总的来说适合当作cox model相关的intro书籍,要学counting process还得去看fleming&harrington
评分挺好的一本书,从nonparametric开始讲起到后面的estimation和testing,但是没有涉及特别的counting process的证明的东西,总的来说适合当作cox model相关的intro书籍,要学counting process还得去看fleming&harrington
评分挺好的一本书,从nonparametric开始讲起到后面的estimation和testing,但是没有涉及特别的counting process的证明的东西,总的来说适合当作cox model相关的intro书籍,要学counting process还得去看fleming&harrington
评分挺好的一本书,从nonparametric开始讲起到后面的estimation和testing,但是没有涉及特别的counting process的证明的东西,总的来说适合当作cox model相关的intro书籍,要学counting process还得去看fleming&harrington
评分挺好的一本书,从nonparametric开始讲起到后面的estimation和testing,但是没有涉及特别的counting process的证明的东西,总的来说适合当作cox model相关的intro书籍,要学counting process还得去看fleming&harrington
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