robincar_covhr: Covariate-adjusted estimators for time to event data
In RobinCar: Robust Estimation and Inference in Covariate-Adaptive Randomization

robincar_covhr

R Documentation

Covariate-adjusted estimators for time to event data

Description

Estimate a covariate-adjusted hazard ratio ('adj_method="CL"'), or a covariate-adjusted stratified hazard ratio ('adj_method="CSL"').

Usage

robincar_covhr(
  df,
  treat_col,
  response_col,
  event_col,
  car_strata_cols = NULL,
  covariate_cols = NULL,
  p_trt = 0.5,
  ref_arm = NULL,
  car_scheme = "simple",
  adj_method = "CL",
  interval = c(-10, 10)
)

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)
`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])'.
`car_scheme`	Name of the type of covariate-adaptive randomization scheme. One of: "simple", "pocock-simon", "biased-coin", "permuted-block".
`adj_method`	Adjustment method (one of "CL", "CSL")
`interval`	Interval for uniroot function

Value

An object with attribute named "result", which lists:

`theta_L`	estimate of the hazard ratio
`se_theta_L`	SE estimate of the hazard ratio
`theta_CL`	estimate of the covariate-adjusted hazard ratio
`se_theta_CL`	SE estimate of the covariate-adjusted hazard ratio