Logistic regression estimating treatment effect within biomarker subgroups

Usage

wrapper_logistic_regression_treatment(
  data,
  response_var,
  treatment_var,
  biomarker_vars = NULL,
  adjustment_vars = NULL,
  strat2_var = NULL,
  variable_names = NULL,
  caption = NULL,
  print_total = TRUE,
  print_non_response = TRUE,
  print_pvalues = TRUE,
  print_adjpvalues = TRUE,
  print_OR = TRUE
)

Arguments

data: Data frame.
response_var: Name of the response variable. This variable must be a factor where 'success' is interpreted as the factor not having the first level.
treatment_var: Name of column with treatment information.
biomarker_vars: Vector of biomarker names.
adjustment_vars: Vector of covariate names used for adjustment.
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_total: Logical. Whether to print total number of samples.
print_pvalues: Logical. Whether to print p-values.
print_adjpvalues: Logical. Whether to print adjusted p-values.