Application of statistical model to study of the impact of PM2.5 on population morbidity and mortality

doi:10.3969/j.issn.1006-7795.2015.01.029

Abstract

Abstract: There are a lot of studies regarding the impact of PM_2.5 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 PM_2.5 were analyzed.

Key words: statistical model, PM_2.5, disease, impact

CLC Number:

R191.1

Xu Qin, Liu Long, Wang Chao, Cao Kai, Gao Qi, Guo Xiuhua. Application of statistical model to study of the impact of PM_2.5 on population morbidity and mortality[J]. Journal of Capital Medical University, 2015, 36(1): 151-154.

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URL: https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/10.3969/j.issn.1006-7795.2015.01.029

https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2015/V36/I1/151

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Application of statistical model to study of the impact of PM_2.5 on population morbidity and mortality

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