Nakano K, Atobe T, Hiraki Y, Yasaka T
Med Inform (Lond). 1981 Jul-Sep;6(3):195-205. doi: 10.3109/14639238109016074.
Three statistical models of the individual's physiological variations, proposed by Dr Eugene K. Harris, were applied to the long-term series of individual test results in our health control system. It was found from this study that, in most cases, the homeostatic model shows the best fit to the population level from comparing correlation coefficients between the observations and estimations made based on Harris's three models. It was also found that for most cases, the homeostatic model gives the most reliable estimates in individual's level from the comparison of the chi-square values between the observations and estimations made for the individual's successive test results. Further, for a group of members with hyperglycaemia, the proportion of individuals in whom the random-walk model produced the most accurate predictions was increased to the proportion in the normal group. In the age group under 39 years of age, the autoregressive model showed a relatively high degree of predictive success, while the homeostatic model showed a relatively low degree in comparison with the results found in other age groups. From these investigations, it was found that the physiologically normal state shows strict homeostatic stability.
尤金·K·哈里斯博士提出的三种个体生理变化统计模型，被应用于我们健康控制系统中的长期个体测试结果系列。从这项研究中发现，在大多数情况下，通过比较基于哈里斯三种模型所做的观察与估计之间的相关系数，稳态模型显示出与总体水平的最佳拟合。还发现，在大多数情况下，通过比较个体连续测试结果的观察值与估计值之间的卡方值，稳态模型在个体水平上给出了最可靠的估计。此外，对于一组高血糖成员，随机游走模型产生最准确预测的个体比例增加到了正常组的比例。在39岁以下年龄组中，自回归模型显示出相对较高的预测成功率，而与其他年龄组的结果相比，稳态模型显示出相对较低的程度。从这些调查中发现，生理上的正常状态显示出严格的稳态稳定性。
