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Disadvantages of a cross-sectional study
- Cannot measure incidence
- Deriving causal inferences is challenging as it is a one-time measurement of the apparent cause and effect
- Associations identified might be difficult to interpret
- Cannot determine temporal relations between outcomes and risk factors
- Not suitable for studying rare diseases or sporadic events
- Susceptible to biases
- Cannot be used to analyze trends over a period of time.
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