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R中logistics regression model的结果输

R中logistics regression model的结果输

作者: 超级可爱的懂事长鸭 | 来源:发表于2021-04-15 21:19 被阅读0次
    model<-glm(response~risk, 
               family=binomial,
               data = dat)
    summary(model)
    ##得到OR值
    exp(coef(model))
    ##得到95%CI
    exp(confint(model,level = 0.95))
    #指定输出某一项
    exp(coef(m)['变量名'])
    exp(confint(m, parm = "变量名",level = 0.95))
    

    As with the linear regression routine and the ANOVA routine in R, the 'factor( )' command can be used to declare a categorical predictor (with more than two categories) in a logistic regression; R will create dummy variables to represent the categorical predictor using the lowest coded category as the reference group.
    当变量分类大于2时,需要设置为factor,代表数值小的分类为reference

    参考网页:
    https://sphweb.bumc.bu.edu/otlt/MPH-Modules/PH717-QuantCore/PH717_MultipleVariableRegression/PH717_MultipleVariableRegression6.html
    https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/R/R-Manual/R-Manual20.html#:~:text=As%20with%20the%20linear%20regression%20routine%20and%20the,the%20lowest%20coded%20category%20as%20the%20reference%20group.

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