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.
評分
評分
評分
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
评分挺好的一本書,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
评分挺好的一本書,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
评分挺好的一本書,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
评分挺好的一本書,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
本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度,google,bing,sogou 等
© 2025 qciss.net All Rights Reserved. 小哈圖書下載中心 版权所有