What Are Some Common Time Series Regression Models?
Several time series regression models are commonly used in epidemiology, including:
ARIMA: A versatile model that combines autoregression, differencing, and moving averages. SARIMA: An extension of ARIMA that accounts for seasonality. Exponential Smoothing: A method that applies exponentially decreasing weights to past observations. GAMs: Flexible models that can capture non-linear relationships.
