Colosimo E A, Chalita L V, Demétrio C G
Departamento de Estatística, ICEx/UFMG, Caixa Postal 702, 30161-970, Belo Horizonte-MG, Brazil.
Biometrics. 2000 Dec;56(4):1233-40. doi: 10.1111/j.0006-341x.2000.01233.x.
In this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order to obtain the score tests. In simple cases, some small-sample results are obtained for the score statistics using Monte Carlo simulations. Score statistics have distributions well approximated by the chi-squared distribution. Real examples illustrate the proposed tests.
在本文中，我们推导了得分检验统计量，以区分分组生存数据的比例风险模型和比例优势模型。这些模型被嵌入到一个幂族变换中，以获得得分检验。在简单情况下，通过蒙特卡罗模拟获得了得分统计量的一些小样本结果。得分统计量的分布可以很好地用卡方分布近似。实际例子说明了所提出的检验方法。
