analysis of time series data

What are the Challenges in Time Series Analysis?

Several challenges can complicate time series analysis in epidemiology:
Data Quality: Incomplete or inaccurate data can lead to misleading results.
Complex Patterns: Diseases with multiple contributing factors can exhibit complex temporal patterns.
Outliers: Sudden spikes or drops in data can distort analyses.
Non-stationarity: Many time series are non-stationary, meaning their statistical properties change over time.

Frequently asked queries:

What is Time Series Data in Epidemiology?
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What Methods are Used for Time Series Analysis in Epidemiology?
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How Can We Address Missing Data in Time Series?
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