Complex analyses in epidemiology go beyond simple descriptive statistics or basic inferential methods. They include techniques like multivariable regression models, survival analysis, Bayesian methods, machine learning, and network analysis. These methods allow researchers to adjust for confounding variables, explore interactions, and make predictions based on high-dimensional data.
