Prepare response data for population subgroups in data frames

Prepares response rates and odds ratios for population subgroups in data frames. Simple wrapper for h_odds_ratio_subgroups_df() and h_proportion_subgroups_df(). Result is a list of two data.frames: prop and or. variables corresponds to the names of variables found in data, passed as a named list and requires elements rsp, arm and optionally subgroups and strata. groups_lists optionally specifies groupings for subgroups variables.

Usage

extract_rsp_subgroups(
  variables,
  data,
  groups_lists = list(),
  conf_level = 0.95,
  method = NULL,
  label_all = "All Patients"
)

Arguments

variables

(named list of string)
list of additional analysis variables.

data

(data.frame)
the dataset containing the variables to summarize.

groups_lists

(named list of list)
optionally contains for each subgroups variable a list, which specifies the new group levels via the names and the levels that belong to it in the character vectors that are elements of the list.

conf_level

(proportion)
confidence level of the interval.

method

(string or NULL)
specifies the test used to calculate the p-value for the difference between two proportions. For options, see s_test_proportion_diff(). Default is NULL so no test is performed.

label_all

(string)
label for the total population analysis.

Value

A named list of two elements:

• prop: A data.frame containing columns arm, n, n_rsp, prop, subgroup, var, var_label, and row_type.

• or: A data.frame containing columns arm, n_tot, or, lcl, ucl, conf_level, subgroup, var, var_label, and row_type.

See also

response_subgroups