Selected article for: "logistic regression and proportional hazard"

Author: Tian Gu; Qiao Chu; Zhangsheng Yu; Botao Fa; Anqi Li; Lei Xu; Ruijun Wu; Yaping He
Title: History of Coronary Heart Disease Increases the Mortality Rate of Coronavirus Disease 2019 (COVID-19) Patients: A Nested Case-Control Study Based on Publicly Reported Confirmed Cases in Mainland China
  • Document date: 2020_3_27
  • ID: nrdiqees_41
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03. 23.20041848 doi: medRxiv preprint cardiovascular disease [9, 15] . It is worth pointing out that the existing studies [9, 16] that investigate prognostic factors for death used chi-square tests or univariate logistic regression that does not control for potential confounders. In contrast, by conducting weighted Cox proportional hazard re.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03. 23.20041848 doi: medRxiv preprint cardiovascular disease [9, 15] . It is worth pointing out that the existing studies [9, 16] that investigate prognostic factors for death used chi-square tests or univariate logistic regression that does not control for potential confounders. In contrast, by conducting weighted Cox proportional hazard regression models, our study used time-to-event outcomes, which offers more survivaltime-related information to help guide the clinical intervention and more statistical power to detect risk factors [33] [34] .

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