我想用加权数据做一个分层逻辑回归。回归似乎工作正常，但我在显示分层结果时遇到了问题。以前，当我对同一数据集进行单变量回归时，我使用了tbl_uvregression()，效果很好。但是，我无法用tbl_regression()实现同样的功能。即使我使用summary()，它也只提供一个结果。
我提供了一些类似于我的数据集的虚构数据，以防任何人以前遇到过这个问题。

library(tidyverse)
library(gtsummary)
library(survey)

gender <- factor(c(1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 1, 1, 1, 2))
age <- factor(c(3, 4, 2, 1, 3, 1, 1, 2, 3, 3, 4, 1, 3, 1, 3, 4, 2, 1, 2, 1))
prema.5cl <- factor(c(5, 4, 5, 2, 1, 1, 3, 1, 5, 1, 2, 4, 4, 3, 1, 2, 1, 4, 5, 2))
meduc.4cl <- factor(c(1, 2, 3, 3, 1, 4, 2, 1, 4, 2, 1, 3, 3, 4, 4, 2, 4, 3, 1, 2))
mhealth <- factor(c(1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0))
parttime <- factor(c(1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0))
ref1 <- factor(c(0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0))
ref2 <- factor(c(0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0))
ref3 <- factor(c(0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1))
poids <- c(0.52, 1.43, 0.74, 1.60, 1.71, 0.08, 0.96, 1.62, 1.00, 0.83, 1.74, 0.82, 1.23, 1.04, 0.19, 1.63, 0.45, 0.08, 0.60, 1.73)
gd <- factor(c("gp_2", "gp_1", "gp_2", "gp_1", "gp_2", "gp_1", "gp_1", "gp_1", "gp_2", "gp_2", "gp_1", "gp_1", "gp_2", "gp_1", "gp_1", "gp_2", "gp_2", "gp_1", "gp_2", "gp_2"))
bth_2y <- factor(c(1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0))
db <- data.frame(gender, age, prema.5cl, meduc.4cl, mhealth, parttime, ref1, ref2, ref3, poids, gd, bth_2y)

reg1 <- svyglm(
  bth_2y ~ gender + age + prema.5cl + meduc.4cl + mhealth + ref1 + ref2 + ref3,
  family = quasibinomial,
  design = svydesign(id=~1, data = db, weights = ~poids, strata = ~gd))

summary(reg1)

tbl_regression(reg1)

谢谢你的帮助。