robincar_tte: Covariate adjustment for time to event data

In RobinCar: Robust Estimation and Inference in Covariate-Adaptive Randomization

Covariate adjustment for time to event data

Description

Perform a covariate-adjusted logrank test ('adj_method="CL"'), covariate-adjusted stratified logrank test ('adj_method="CSL"'), or a covariate-adjusted robust Cox score test ('adj_method="coxscore"').

Usage

robincar_tte(
  df,
  treat_col,
  response_col,
  event_col,
  adj_method,
  car_strata_cols = NULL,
  covariate_cols = NULL,
  p_trt = 0.5,
  ref_arm = NULL,
  sparse_remove = TRUE,
  car_scheme = "simple"
)

Arguments

df	A data.frame with the required columns
treat_col	Name of column in df with treatment variable
response_col	Name of the column in df with response variable
event_col	Name of column in df with event indicator (0/FALSE=no event, 1/TRUE=event)
adj_method	Adjustment method (one of "CL", "CSL", or "coxscore")
car_strata_cols	Names of columns in df with car_strata variables
covariate_cols	Names of columns in df with covariate variables
p_trt	Treatment allocation ratio for the reference arm.
ref_arm	Reference arm of the treatment group, defaults to NULL, which results in using the first element of 'unique(data[, treat_col])'.
sparse_remove	Remove sparse car_strata from calculation
car_scheme	Name of the type of covariate-adaptive randomization scheme. One of: "simple", "pocock-simon", "biased-coin", "permuted-block".

Details

'robincar_coxscore' and 'robincar_logrank' are wrapper functions around 'robincar_tte'.

Value

For adjustment method "CL" or "CSL", see value of RobinCar::robincar_logrank(); for adjustment method "coxscore" see value of RobinCar::robincar_coxscore().

RobinCar documentation built on May 29, 2024, 3:03 a.m.