Multivariable Logistic Regression (4-layer models)

Usage

run_multivariable_logistic_regression(
  data,
  outcomes,
  predictors,
  models_list,
  outcomes_map = NULL,
  predictors_map = NULL,
  output_dir = NULL,
  save_format = c("none", "docx", "csv")
)

Arguments

data: Data frame
outcomes: Outcome variables (character vector)
predictors: Predictor variables (character vector)
models_list: Named list of length 3 with covariates for model2, model3, model4
outcomes_map: Optional named mapping from outcome variable names to display labels, e.g. c("A_B" = "A B").
predictors_map: Optional named mapping from predictor variable names to display labels.
output_dir: Output directory (optional, default no file saving)
save_format: Save format: "none", "txt", "csv" (default "none")

Value

List containing results data frame and optional saved file paths

Examples

if (FALSE) { # \dontrun{
models_list <- list(
  model2 = c("cyl", "gear"),
  model3 = c("carb"),
  model4 = c("hp")
)

result <- run_multivariable_logistic_regression(
  data = mtcars,
  outcomes = "vs",
  predictors = c("mpg", "wt"),
  models_list = models_list
)
} # }