extract_rsp_subgroups: Prepare response data for population subgroups in data frames

In tern: Create Common TLGs Used in Clinical Trials

Prepare response data for population subgroups in data frames

Description

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 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

tern documentation built on Sept. 24, 2024, 9:06 a.m.