论文标题
使用组成功能数据分析分析特定原因的死亡率趋势
Analyzing Cause-Specific Mortality Trends using Compositional Functional Data Analysis
论文作者
论文摘要
我们通过将其视为功能的组成来研究因果关系中特定的死亡率的动态。我们为这种数据结构开发了一个新颖的框架，特别关注功能性PCA。该方法将这种方法应用于WHO死亡率数据库的一部分，揭示了男性和女性多年来因特定费率变化的主要模式，使我们能够在预计的子空间中执行聚类。结果给出了许多正在进行的趋势的见解，只有过去文献的部分解释，即被考虑的国家正在经历。我们还能够表明男性和女性经历了死亡原因的不同演变：例如，我们可以看到，尽管男性肺癌的发生率正在稳定，但女性仍在增加。
We study the dynamics of cause--specific mortality rates among countries by considering them as compositions of functions. We develop a novel framework for such data structure, with particular attention to functional PCA. The application of this method to a subset of the WHO mortality database reveals the main modes of variation of cause--specific rates over years for men and women and enables us to perform clustering in the projected subspace. The results give many insights of the ongoing trends, only partially explained by past literature, that the considered countries are undergoing. We are also able to show the different evolution of cause of death undergone by men and women: for example, we can see that while lung cancer incidence is stabilizing for men, it is still increasing for women.
