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：我们研究了2012年肺癌死亡率以及2016年总体循环呼吸系统死亡率的美国县级观测数据，以及来自联邦或州级来源的“十大”潜在原因。我们发现这些死亡率之间几乎没有共同之处。因此，在预测建模中，我们采用单一的“折衷”死亡率指标，该指标具有若干优势。我们绝大多数新发现均具有简单的含义，并通过图形化方式进行说明。