gtsummary (version 1.2.1)

add_q.tbl_uvregression: Add a column of q-values to account for multiple comparisons

Description

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

Usage

# S3 method for tbl_uvregression
add_q(x, method = "fdr",
  pvalue_fun = x$inputs$pvalue_fun, ...)

Arguments

x

tbl_uvregression object

method

String indicating method to be used for p-value adjustment. Methods from stats::p.adjust are accepted. Default is method = 'fdr'.

pvalue_fun

Function to round and format p-values. Default is style_pvalue. The function must have a numeric vector input (the numeric, exact p-value), and return a string that is the rounded/formatted p-value (e.g. pvalue_fun = function(x) style_pvalue(x, digits = 2) or equivalently, purrr::partial(style_pvalue, digits = 2)).

...

Additional arguments passed to or from other methods

Value

A tbl_uvregression object

Example Output

See Also

Other tbl_uvregression tools: add_global_p.tbl_uvregression, add_nevent.tbl_uvregression, bold_italicize_labels_levels, bold_p.tbl_stack, bold_p.tbl_uvregression, inline_text.tbl_uvregression, modify_header, sort_p.tbl_uvregression, tbl_merge, tbl_stack, tbl_uvregression

Examples

# NOT RUN {
tbl_uvr_q_ex <-
  trial %>%
  dplyr::select(age, marker, grade, response) %>%
  tbl_uvregression(
    method = lm,
    y = age
  ) %>%
  add_global_p() %>%
  add_q()
# }