Phillips D L
Arch Environ Contam Toxicol. 1989 Jul-Aug;18(4):508-14. doi: 10.1007/BF01055017.
Limited data on toxic compounds in humans often necessitate that biological half-life estimates be based on only two measurements over a time interval, both of which are subject to analytical error. Propagation of error calculations and computer simulations were performed which showed that as the time interval gets shorter and/or the analytical error increases, the variability of the half-life estimate increases. Negative and large positive values create problems in computing the mean half-life and can lead to biases in that estimator. However, when negative values are considered equivalent to large positive half-lives, the median half-life has negligible bias even at large analytical coefficients of variation and measurement intervals much shorter than one half-life.
关于人体中毒性化合物的数据往往有限，这常常使得生物半衰期的估计只能基于一个时间间隔内的两次测量，而这两次测量都存在分析误差。进行了误差传播计算和计算机模拟，结果表明，随着时间间隔缩短和/或分析误差增加，半衰期估计值的变异性会增大。负值和大的正值在计算平均半衰期时会产生问题，并可能导致该估计值出现偏差。然而，当将负值视为等同于大的正半衰期时，即使在分析变异系数很大且测量间隔远短于一个半衰期的情况下，中位半衰期的偏差也可忽略不计。
