如何使用R包“ gtsummary”在汇总表中生成效果大小[90%CI]?

时间:2020-06-01 17:20:54

标签: r size effect gtsummary

我正在使用R包“ gtsummary”创建摘要表。这实际上非常好。 add_stat函数为您提供了很大的自由来包含附加组件。例如,在我所在的地区,我们想用置信区间(ES [90%CI])来告知效果大小。因此,我希望将CI范围包括在内。我实现的代码有效,但是没有数字控制并且没有CI范围。

# Packages ----------------------------------------------------------------
library(gtsummary)
library(gt)
library(dplyr)
library(purrr)

# Example 1 ---------------------------------------------------------------
# fn returns ES value
my_EStest <- function(data, variable, by, ...) {
  effsize::cohen.d(data[[variable]] ~ as.factor(data[[by]]), 
                   conf.level=.90, pooled=TRUE, paired=FALSE, 
                   hedges.correction=TRUE)$estimate
}

add_ES <-
  trial %>%
  select(trt, age) %>%
  tbl_summary(by = trt, missing = "no",
              statistic = list(all_continuous() ~ "{mean} ({sd})"),
              digits = list(all_continuous() ~ c(1,1))) %>%
  add_p(test = everything() ~ t.test) %>%
  add_stat(
    fns = everything() ~ my_EStest,
    fmt_fun = style_pvalue,
    header = "**ES**"
  )
add_ES

# counterproof
effsize::cohen.d(age ~ trt, data = trial, conf.level=.90, return.dm=TRUE, pooled=TRUE, paired=FALSE, hedges.correction=TRUE)

1 个答案:

答案 0 :(得分:0)

我认为最简单的方法是将置信区间与已经格式化的估算值相加。

您更新my_EStest函数以返回一个已经格式化的统计信息,包括估计值和置信区间。此输出对您有用吗?

library(tidyverse)
library(gtsummary)

my_EStest <- function(data, variable, by, ...) {
  # Cohen's D
  d <- effsize::cohen.d(data[[variable]] ~ as.factor(data[[by]]), 
                   conf.level=.90, pooled=TRUE, paired=FALSE, 
                   hedges.correction=TRUE)

  # Formatting statistic with CI
  est <- style_sigfig(d$estimate)
  ci <- style_sigfig(d$conf.int) %>% paste(collapse = ", ")

  # returning estimate with CI together
  str_glue("{est} ({ci})")
}

add_ES <-
  trial %>%
  select(trt, age) %>%
  tbl_summary(by = trt, missing = "no",
              statistic = list(all_continuous() ~ "{mean} ({sd})"),
              digits = list(all_continuous() ~ c(1,1))) %>%
  add_p(test = everything() ~ t.test) %>%
  add_stat(
    fns = everything() ~ my_EStest,
    fmt_fun = NULL,
    header = "**ES (90% CI)**"
  ) %>%
  modify_footnote(add_stat_1 ~ "Cohen's D (90% CI)")

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