Statistical Methods for Survival Data Analysis 在线电子书 图书标签: 统计 生存分析 数据分析 spring 2015
发表于2024-12-24
Statistical Methods for Survival Data Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
I like its way to go to the fundamental by first expressing formulas explicitly then by vector-matrix format, and adding many plots. However, the book is still not well structued, e.g. there are many repeated materials. It is not good as advertised, only part of examples accompanies R, expecially these important ones for PH models are missing.
评分I like its way to go to the fundamental by first expressing formulas explicitly then by vector-matrix format, and adding many plots. However, the book is still not well structued, e.g. there are many repeated materials. It is not good as advertised, only part of examples accompanies R, expecially these important ones for PH models are missing.
评分I like its way to go to the fundamental by first expressing formulas explicitly then by vector-matrix format, and adding many plots. However, the book is still not well structued, e.g. there are many repeated materials. It is not good as advertised, only part of examples accompanies R, expecially these important ones for PH models are missing.
评分I like its way to go to the fundamental by first expressing formulas explicitly then by vector-matrix format, and adding many plots. However, the book is still not well structued, e.g. there are many repeated materials. It is not good as advertised, only part of examples accompanies R, expecially these important ones for PH models are missing.
评分I like its way to go to the fundamental by first expressing formulas explicitly then by vector-matrix format, and adding many plots. However, the book is still not well structued, e.g. there are many repeated materials. It is not good as advertised, only part of examples accompanies R, expecially these important ones for PH models are missing.
Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data. It features a wealth of new material, including coverage of marginal and random effect models for analyzing correlated censored or uncensored data as well as multiple comparisons in the comparison of K samples. It also offers expanded coverage of the Cox proportional hazards model; real-world examples focused on survival data in the biomedical sciences; and more.
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Statistical Methods for Survival Data Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024