Wang Chenxi, Li Qing, Redden David T, Weindruch Richard, Allison David B
Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Ryals Public Health Bldg, Room 327, 1665 University Blvd, 35294-0022, USA.
Mech Ageing Dev. 2004 Sep;125(9):629-32. doi: 10.1016/j.mad.2004.07.003.
It has been noted that certain interventions such as caloric restriction may increase maximum lifespan, whereas other interventions may increase mean or median lifespan but not maximum lifespan. Here the term "maximum lifespan" is used to refer to the upper percentiles of the distribution of lifespan. This is of great interest because increasing maximum lifespan may be an indicator that an intervention is slowing the general process of aging and not merely retarding the development of specific diseases. However, formal methods for testing maximum lifespan have not been elucidated. Herein, we show via simulation that conditional t-test (CTT), a method that is sometimes used, is invalid. We then offer a new method based on quantile regression and we show that this method is, at worst, conservative and remains powerful and valid.
已经注意到,某些干预措施,如热量限制,可能会延长最大寿命,而其他干预措施可能会延长平均或中位数寿命,但不会延长最大寿命。这里的“最大寿命”一词用于指代寿命分布的较高百分位数。这一点非常重要,因为延长最大寿命可能表明一种干预措施正在减缓衰老的总体进程,而不仅仅是延缓特定疾病的发展。然而,尚未阐明测试最大寿命的正式方法。在此,我们通过模拟表明,有时使用的条件t检验(CTT)方法是无效的。然后,我们提出了一种基于分位数回归的新方法,并且表明该方法在最坏的情况下是保守的,并且仍然有效且具有强大的功效。