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.
發表於2024-11-08
Modeling Survival Data 2024 pdf epub mobi 電子書 下載
圖書標籤:
挺好的一本書,從nonparametric開始講起到後麵的estimation和testing,但是沒有涉及特彆的counting process的證明的東西,總的來說適閤當作cox model相關的intro書籍,要學counting process還得去看fleming&harrington
評分挺好的一本書,從nonparametric開始講起到後麵的estimation和testing,但是沒有涉及特彆的counting process的證明的東西,總的來說適閤當作cox model相關的intro書籍,要學counting process還得去看fleming&harrington
評分挺好的一本書,從nonparametric開始講起到後麵的estimation和testing,但是沒有涉及特彆的counting process的證明的東西,總的來說適閤當作cox model相關的intro書籍,要學counting process還得去看fleming&harrington
評分挺好的一本書,從nonparametric開始講起到後麵的estimation和testing,但是沒有涉及特彆的counting process的證明的東西,總的來說適閤當作cox model相關的intro書籍,要學counting process還得去看fleming&harrington
評分挺好的一本書,從nonparametric開始講起到後麵的estimation和testing,但是沒有涉及特彆的counting process的證明的東西,總的來說適閤當作cox model相關的intro書籍,要學counting process還得去看fleming&harrington
Modeling Survival Data 2024 pdf epub mobi 電子書 下載