Cox regression estimating interaction effect between biomaker and treatment

Usage

wrapper_cox_regression_interaction(
  data,
  tte_var,
  censor_var,
  treatment_var,
  biomarker_vars,
  adjustment_vars = NULL,
  strata_vars = NULL,
  strat1_var = NULL,
  strat2_var = NULL,
  variable_names = NULL,
  caption = NULL,
  print_pvalues = TRUE,
  print_adjpvalues = TRUE
)

Arguments

data: Data frame.
tte_var: Name of the time-to-event variable. This variable must be numeric.
censor_var: Name of the censor variable. It has to be numeric and encode 1 for event and 0 for censor.
treatment_var: Name of column with treatment information.
biomarker_vars: Vector of biomarker names.
adjustment_vars: Vector of covariate names used for adjustment.
strata_vars: Vector with names of covariates that are used as strata.
strat1_var: Name of the second stratification variable.
strat2_var: Name of the second stratification variable used for splitting the data.
variable_names: Named vector with variable names. If not supplied, variable names are created by replacing in column names underscores with spaces.
caption: Caption for the table with results.
print_pvalues: Logical. Whether to print p-values.
print_adjpvalues: Logical. Whether to print adjusted p-values.