add_q: Add multiple comparison adjustment

In ddsjoberg/gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

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()

ddsjoberg/gtsummary documentation built on Sept. 16, 2024, 4:15 a.m.