| 书目名称 | Modern Survival Analysis in Clinical Research | | 副标题 | Cox Regressions Vers | | 编辑 | Ton J. Cleophas,Aeilko H. Zwinderman | | 视频video | | | 概述 | This edition concerns SPSS‘s 2023 update for Survival Analysis called Accelerated Failure Time.It also tests the novel methodology against the traditional Cox regression.First textbook and tutorial of | | 图书封面 |  | | 描述 | .An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023. Unlike the traditional Cox regressions that work with hazards, which are the ratio of deaths and non-deaths in a sample, it works with risk of death, which is the proportion of deaths in the same sample. The latter approach may provide better sensitivity of testing, but has been seldom applied, because with computers .risks. are tricky and .hazards. because they are odds are fine. This was underscored in 1997 by Keiding and colleague statisticians from Copenhagen University who showed better-sensitive goodness of fit and null-hypothesis tests with AFT than with Cox survival tests..So far, a controlled study of a representative sample of clinical Kaplan Meier assessments, where the sensitivity of Cox regression is systematically tested against that of AFT modeling, hasnot been accomplished. This edition is the first textbook and tutorial of AFT modeling both for medical and healthcare students and for professionals. Each chapter can be studied as a standalone, and, using, real as we | | 出版日期 | Textbook 2023 | | 关键词 | Cox Regression; Clinical Medicine; Survival Analysis; Accelerated Failure Time Modeling; Statistical Dat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-31632-6 | | isbn_softcover | 978-3-031-31634-0 | | isbn_ebook | 978-3-031-31632-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:24:32
