For many diseases it is reasonable to assume that the hazard rate is not constant across time, but also that it changes in different time intervals. To capture this, we work here with a piecewise survival model. One of the major problems in such piecewise models is to determine the time points of change of the hazard rate. From the practical point of view this can provide very important information as it may reflect changes in the progress of a disease. We present piecewise Weibull regression models with covariates. The time points where change occurs are assumed unknown and need to be estimated. The equality of hazard rates across the distinct phases is also examined to verify the exact number of phases. An example based on herpes zoster data has been used to demonstrate the usefulness of the developed methodology.
翻译:对于许多疾病来说,可以合理地假定危险率在不同的时间间隔中并不一致,但变化时间间隔也不同。为了做到这一点,我们在这里使用一个片段生存模型。这种片段生存模型的主要问题之一是确定危险率变化的时间点。从实际的角度来看,这可以提供非常重要的信息,因为它可能反映疾病进展的变化。我们用相异的片段韦布尔回归模型。假设发生变化的时间点未知,需要估计。还检查不同阶段的危险率平等情况,以核实各个阶段的确切数量。以雌疹为根据的一个实例已经用于证明开发方法的有用性。