确定与俄罗斯婴儿死亡率相关因素的建模方法

S. Soshnikov, Carl Lee, S. Vladimirov
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引用次数: 1

摘要

近几十年来,全球婴儿死亡率一直在下降。然而,它仍然是一个国际关注的问题。问题不仅在于导致个别婴儿死亡的疾病或事件的类型,而且在于什么因素;社会、经济、环境、教育等;都与社会上的婴儿死亡率有关。在这项研究中,我们收集了俄罗斯的婴儿死亡率数据以及100多个变量,以区域为抽样单位,调查可能与俄罗斯婴儿死亡率有显著关联的潜在因素。我们的目的有两个方面。首先是解决一般观测研究的数据质量和建模方法选择问题。第二是确定可能与俄罗斯婴儿死亡率有关的重要因素。最后,我们讨论了在观察性研究中应用预测建模技术时的陷阱和注意事项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modeling approach to identify factors associated with infant mortality in Russia
The infant mortality has been declining in the recent decades globally. However, it continues to be an international concern. The issues are not only on what types of diseases or incidents leading to the infant death for individual cases, but also on what factors; social, economic, environment, education and other; are associated with infant mortality in the society. In this study, we collect infant mortality data along with over 100 variables using region as the sampling unit in Russia to investigate potential factors that may have significant association with infant mortality in Russia. Our purpose has two folds. First is to address the issues of data quality and the selection of modeling methodology for observational studies in general. Second is to identify possible important factors associated with infant mortality in Russia. We conclude with a discussion of pitfalls and cautions when applying predictive modeling techniques in observational studies.
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