extract_survival_biomarkers: Prepare survival data estimates for multiple biomarkers in a...

In tern: Create Common TLGs Used in Clinical Trials

Prepare survival data estimates for multiple biomarkers in a single data frame

Description

Prepares estimates for number of events, patients and median survival times, as well as hazard ratio estimates, confidence intervals and p-values, for multiple biomarkers across population subgroups in a single data frame. variables corresponds to the names of variables found in data, passed as a named list and requires elements tte, is_event, biomarkers (vector of continuous biomarker variables), and optionally subgroups and strata. groups_lists optionally specifies groupings for subgroups variables.

Usage

extract_survival_biomarkers(
  variables,
  data,
  groups_lists = list(),
  control = control_coxreg(),
  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.
control	(list) a list of parameters as returned by the helper function control_coxreg().
label_all	(string) label for the total population analysis.

Value

A data.frame with columns biomarker, biomarker_label, n_tot, n_tot_events, median, hr, lcl, ucl, conf_level, pval, pval_label, subgroup, var, var_label, and row_type.

See Also

h_coxreg_mult_cont_df() which is used internally, tabulate_survival_biomarkers().

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