官网教程地址
https://www.danieldsjoberg.com/gtsummary/reference/tbl_uvregression.html?q=tbl%20_%20uvregression#methods-1
个人认为这个函数最重要的是下面这句说明：You may alternatively hold a single covariate constant. For this, pass a data frame, the type of regression model, and a single covariate in the x= argument. Each column of the data frame will serve as the outcome in a univariate regression model.
因为单因素结果相关没有影响，因此在向函数提供的列表中，除了结果变量外的其他变量都会做分析并被报告，这点比较重要，一般可以先select出需要的变量，然后进行分析。
library(gtsummary)
# 逻辑回归 1 ----------------------------------
tbl_uv_ex1 <-
tbl_uvregression(
trial[c("response", "age", "grade")],#构建待分析列表
method = glm,#确定回归方法
y = response,#确定结果变量
method.args = list(family = binomial),
exponentiate = TRUE
);tbl_uv_ex1
image.png
library(survival)
tbl_uv_ex2 <-
tbl_uvregression(
trial[c("ttdeath", "death", "age", "grade", "response")],#构建分析列表
method = coxph,#生存分析的函数
y = Surv(ttdeath, death),#构建生存对象
exponentiate = TRUE,
pvalue_fun = function(x) style_pvalue(x, digits = 2)# P值保留两位小数
);tbl_uv_ex2
# }
image.png
