Modern Survival Analysis in Clinical Research
Modern Survival Analysis in Clinical Research: Cox Regressions Versus Accelerated Failure Time Models
English | 2023 | ISBN: 3031316312 | 230 Pages | PDF (True) | 20 MB
English | 2023 | ISBN: 3031316312 | 230 Pages | PDF (True) | 20 MB
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.