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analysis of time series data
What Methods are Used for Time Series Analysis in Epidemiology?
Several methods are employed for analyzing time series data in epidemiology, including:
Autoregressive Integrated Moving Average (ARIMA)
: A popular method that combines autoregression, differencing, and moving average techniques.
Seasonal Decomposition of Time Series (STL)
: A technique to separate data into seasonal, trend, and irregular components.
Exponential Smoothing
: Methods like Holt-Winters that account for trends and seasonality.
Generalized Additive Models (GAM)
: Flexible models that can capture non-linear relationships.
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