add_q {gtsummary}

Add multiple comparison adjustment

Description

Adjustments to p-values are performed with stats::p.adjust().

Usage

add_q(x, method = "fdr", pvalue_fun = NULL, quiet = NULL)

Arguments

x

(gtsummary)
a gtsummary object with a column named "p.value"

method

(string)
String indicating method to be used for p-value adjustment. Methods from stats::p.adjust() are accepted. Default is method='fdr'. Must be one of 'holm', 'hochberg', 'hommel', 'bonferroni', 'BH', 'BY', 'fdr', 'none'

pvalue_fun

(function)
Function to round and format q-values. Default is the function specified to round the existing 'p.value' column.

quiet

Author(s)

Daniel D. Sjoberg, Esther Drill

Examples

# Example 1 ----------------------------------
add_q_ex1 <-
  trial |>
  tbl_summary(by = trt, include = c(trt, age, grade, response)) |>
  add_p() |>
  add_q()

# Example 2 ----------------------------------
trial |>
  tbl_uvregression(
    y = response,
    include = c("trt", "age", "grade"),
    method = glm,
    method.args = list(family = binomial),
    exponentiate = TRUE
  ) |>
  add_global_p() |>
  add_q()