Skip to contents

Helper Function: Pairwise CoxPH table

Source: R/kaplan_meier_plot.R
h_tbl_coxph_pairwise.Rd

#' @description [Stable]

Usage

h_tbl_coxph_pairwise(df, variables, control_coxph_pw = control_coxph())

Arguments

df

(data frame)
data set containing all analysis variables.

variables

(named list) of variable names. Details are:

  • tte: variable indicating time-to-event duration values (numeric).

  • is_event: event variable (logical)
    TRUE if event, FALSE if time to event is censored.

  • arm: the treatment group variable (factor).

  • strat: (character or NULL) variable names indicating stratification factors.

control_coxph_pw

(list)
parameters for comparison details, specified by using
the helper function control_coxph(). Some possible parameter options are:

  • pval_method: (string)
    p-value method for testing hazard ratio = 1. Default method is "log-rank", can also be set to "wald" or "likelihood".

  • ties: (string)
    specifying the method for tie handling. Default is "efron", can also be set to "breslow" or "exact". See more in survival::coxph()

  • conf_level: (proportion)
    confidence level of the interval for HR.

Details

Create an rtable of pairwise stratified or unstratified CoxPH analysis results.

Examples

if (FALSE) {
library(scda)
library(dplyr)

adtte <- synthetic_cdisc_data("latest")$adtte %>%
  filter(PARAMCD == "OS") %>%
  mutate(is_event = CNSR == 0)

h_tbl_coxph_pairwise(
  df = adtte,
  variables = list(tte = "AVAL", is_event = "is_event", arm = "ARM"),
  control_coxph_pw = control_coxph(conf_level = 0.9)
)
}