Weathersby P K, Homer L D, Flynn E T
J Appl Physiol Respir Environ Exerc Physiol. 1984 Sep;57(3):815-25. doi: 10.1152/jappl.1984.57.3.815.
The occurrence of decompression sickness in animals and humans is characterized by the extreme variability of individual response. Nevertheless, models and analyses of decompression results have generally used a critical value approach to separate safe and unsafe decompression procedures. Application of the principle of maximum likelihood provides a formal and consistent way to quantify decompression risk and to apply models to data on decompression outcome. By use of the maximum likelihood principle, a number of models were fit to data from dose-response and maximum pressure-reduction experiments with both rats and men. Several different formulations of two- and three-parameter models described the data well. In addition to summarizing data sets, the analyses provide a way to maximize the value of experimental observations, test theoretical predictions, estimate uncertainty in conclusions, and recommend safe practices.
动物和人类减压病的发生具有个体反应极端变异性的特点。然而，减压结果的模型和分析通常采用临界值方法来区分安全和不安全的减压程序。最大似然原理的应用提供了一种正式且一致的方法来量化减压风险，并将模型应用于减压结果数据。通过使用最大似然原理，一些模型被拟合到大鼠和人类的剂量反应以及最大减压实验数据。两参数和三参数模型的几种不同形式都能很好地描述这些数据。除了汇总数据集外，这些分析还提供了一种方法，可最大化实验观察值、检验理论预测、估计结论的不确定性并推荐安全做法。
