Multivariable Multinomial Logistic Regression Analysis

Fits multinomial logistic regression models for continuous predictors:

1. Model1 (unadjusted)

2. Model2/3/4 (sequentially adding covariates) Calculates OR, 95% CI and P-value per unit increase.

Usage

run_multivariable_multinomial_logistic_regression(
  data,
  outcomes,
  predictors,
  models_list,
  ref_level = NULL,
  output_dir = NULL,
  save_format = c("none", "docx", "csv")
)

Arguments

data

Data frame containing all variables

outcomes

Character vector of outcome variable names

predictors

Character vector of continuous predictor variable names

models_list

Named list of length 3 with covariates for model2, model3, model4

ref_level

Reference level for multinomial outcome (optional)

output_dir

Output directory (optional)

save_format

Save format: "none", "docx", "csv" (default "none")

Value

List containing results data frame and optional saved file paths