Paxton Nathan A
a School of International Service , American University , Washington , DC , USA .
Med Confl Surviv. 2016 Oct-Dec;32(4):255-281. doi: 10.1080/13623699.2016.1265872. Epub 2017 Jan 16.
This exploratory data analysis finds a negative relationship between some types of war and HIV prevalence (i.e. as the former increases in intensity, the latter decreases). The study uses a longer time-frame and broader range of countries than similar studies, with explicit differentiation between sub-Saharan African and other developing countries. The study uses a variety of methods for analyzing time-series-cross-section data. These methods serve as both a robustness check for the results as well as a real-world demonstration of common suggestions for TSCS data.
这项探索性数据分析发现，某些类型的战争与艾滋病毒流行率之间存在负相关关系（即随着前者强度的增加，后者会下降）。与类似研究相比，该研究使用了更长的时间框架和更广泛的国家范围，并明确区分了撒哈拉以南非洲国家和其他发展中国家。该研究使用了多种方法来分析时间序列横截面数据。这些方法既用于对结果进行稳健性检验，也是对时间序列横截面数据常见建议的实际展示。
