Tahira Ayesha, Danish Muhammad Yameen
Department of Statistics, AIOU, Islamabad, Pin 44000, Pakistan.
Heliyon. 2024 Jun 1;10(11):e32038. doi: 10.1016/j.heliyon.2024.e32038. eCollection 2024 Jun 15.
The cure models based on standard distributions like exponential, Weibull, lognormal, Gompertz, gamma, are often used to analyze survival data from cancer clinical trials with long-term survivors. Sometimes, the data is simple, and the standard cure models fit them very well, however, most often the data are complex and the standard cure models don't fit them reasonably well. In this article, we offer a novel generalized Gompertz promotion time cure model and illustrate its fitness to gastric cancer data by three different methods. The generalized Gompertz distribution is as simple as the generalized Weibull distribution and is not computationally as intensive as the generalized F distribution. One detailed real data application is provided for illustration and comparison purposes.
基于指数分布、威布尔分布、对数正态分布、冈珀茨分布、伽马分布等标准分布的治愈模型，常用于分析来自有长期存活者的癌症临床试验的生存数据。有时，数据很简单，标准治愈模型能很好地拟合它们，然而，大多数情况下数据很复杂，标准治愈模型不能很好地合理拟合它们。在本文中，我们提出了一种新颖的广义冈珀茨促进时间治愈模型，并通过三种不同方法说明了其对胃癌数据的拟合情况。广义冈珀茨分布与广义威布尔分布一样简单，并且在计算上不像广义F分布那样密集。为了说明和比较目的，提供了一个详细的实际数据应用。
