Williams J S
Biometrics. 1978 Jun;34(2):209-22.
An efficient method is presented for analyses of death rated in one-way or cross-classified experiments where expected survival time for a patient at time of entry on trial is a function of observable covariates. The survival-time distribution used is a Weibull form of Cox's (1972) model. The analysis proceeds in two steps. In the first, goodness of fit of the model is checked, inefficient estimates of the parameters are obtained, and survival times adjusted for the entry covariates are calculated. In the second, efficient estimates and tests for the rate parameters are obtained. These can easily be calculated using hand or desk equipment. Reorganized data sets can be analyzed without repetition of step one, thereby reducing the computational load to hand level and facilitating exploratory data analysis.
本文提出了一种有效方法，用于分析单向或交叉分类实验中的死亡率，其中患者进入试验时的预期生存时间是可观察协变量的函数。所使用的生存时间分布是Cox（1972）模型的威布尔形式。分析分两步进行。第一步，检查模型的拟合优度，获得参数的低效估计，并计算针对进入协变量调整后的生存时间。第二步，获得速率参数的有效估计和检验。使用手动或台式设备即可轻松计算这些估计和检验。可以在不重复第一步的情况下分析重组数据集，从而将计算负荷降低到手动水平，并便于进行探索性数据分析。
