I performed multivariate logistic regression with this dataset: https://justpaste.it/61vgo
#build model library(gtsummary) library(epiDisplay) dataB <- read.table("clipboard", header = T, dec = ".", sep = "\t") #after copying data fit1 <- glm(outcome ~ A + B, family=binomial, data=dataB)
#get output logistic.display(fit1) tbl_regression(fit1, exponentiate = T)
As you can see below, 95% CI are not the same between both output (logistic.display from epiDisplay and tbl_regression from gtsummary, see below), and moreover, tbl_regression display 95%CI that does not match with p-value from Wald test (pvalue should be < 0.05 if 95%CI does not contain 1) ...
Do you know why? Which one is the good one?