Performing multivariable analysis involves several steps:
1. Model Specification: Identify the dependent and independent variables. Ensure that the model is appropriately specified to include relevant confounders and interaction terms. 2. Model Fitting: Use statistical software to fit the model to the data. 3. Model Validation: Check for model fit, multicollinearity, and other assumptions. Use techniques like cross-validation to verify the model's robustness.
