Statistical methods for testing effects on "maximum lifespan"
Statistical methods for testing effects on "maximum lifespan"
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DOI：
10.1016/j.mad.2004.07.003
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发表时间：
2004-09-01
影响因子：
5.3
通讯作者：
Allison, DB
中科院分区：
文献类型：
--
作者：
Wang, CX;Li, Q;Allison, DB
值得注意的是，某些干预措施（例如热量限制）可能会增加最大寿命，而其他干预措施可能会增加平均或中位寿命，但不会增加最大寿命。这里术语“最大寿命”用于指寿命分布的上百分位数。这是非常有趣的，因为延长最长寿命可能表明干预措施正在减缓衰老的一般过程，而不仅仅是延缓特定疾病的发展。然而，测试最大寿命的正式方法尚未阐明。在这里，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，我们提供了一种基于分位数回归的新方法，我们证明该方法在最坏的情况下是保守的，但仍然强大且有效。 (C) 2004 Elsevier Ireland Ltd. 保留所有权利。
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. (C) 2004 Elsevier Ireland Ltd. All rights reserved.