混合线性模型在军事训练重复测量资料中的应用

目的探讨混合线性模型在有关军事训练重复测量资料分析中的价值。方法采用SAS软件中的MIXED过程对部队士兵进行100m跑前后各时间点采集的心率、血氧饱和度进行分析。结果混合线性模型对数据的完整性、反应变量的独立性和方差齐性不作要求，从而扩大了线性模型的适用范围，而且能得到个体化的分析结果，大大提高了现有资料的利用效率。结论混合线性模型能对军事训练中获取的重复测量资料准确、全面地进行分析，为部队改进训练方法、增强战斗力服务，因此，具有很高的应用价值。

Mixed linear model′s application in repeated measure data about military training

Objeetlve To discuss the value of mixed linear model in the analysis of repeated measure data about military training. Methods Army soliders＇ heart rate and SaO2 obtained at every time before and after 100-meter run by adopting MIXED procedure in SAS software are analyzed. Results Mixed linear model has no demand to make of data＇ s integrity, dependent variable＇ s independence and homogeneity of variance. So it enlarges the applicability range of linear model, and what＇ s more, individual analysis results can be gained, so it improves the utility efficiency of present data greatly. Conclusion Mixed linear model can make an accurate and comprehensive analysis of repeated measure data obtained from military training to serve the army in improving training methods and enhancing battle effectiveness, so it is of high application value.