We examine US County-level observational data on Lung Cancer mortality rates in 2012 and overall Circulatory Respiratory mortality rates in 2016 as well as their "Top Ten" potential causes from Federal or State sources. We find that these mortality rates have remarkably little in common. Thus, for predictive modeling, we use a single "compromise" measure of mortality that has several advantages. The vast majority of our new findings have simple implications that we illustrate graphically.
翻译:我们调查了2012年肺癌死亡率和2016年总循环呼吸系统死亡率以及其联邦或州来源的“前十大”潜在原因。我们发现这些死亡率几乎没有共同点。因此,为了进行预测建模,我们使用单一的“妥协”死亡率测量值,它具有几个优点。我们的大部分新发现都有简单的含义,我们用图形进行演示。