PM_(2.5)对人群发病和死亡影响研究中统计学模型的应用

Application of statistical model to study of the impact of PM_(2.5） on population morbidity and mortality

目前国内外有许多采用统计学模型研究PM2.5对人群发病和死亡的影响。本文针对时间序列模型、Logistic回归模型、Cox风险比例模型、Poisson回归模型等的特点以及在这些研究中的应用现状进行了综述,并分析了不同统计学模型在PM2.5研究中存在的局限性。

There are a lot of studies regarding the impact of PM2.s on population morbidity and mortality by using the statistical model at home and abroad. Based on the characteristics of time series model, the Logistic regression model, Cox proportional hazards regression model and poisson regression model, the application of these models were reviewed in the paper, and the limitation of different statistical models in the study of PM2. 5 were analyzed.