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  2. 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.
    researcher.life/blog/article/what-is-a-cross-sectional-study-definition-and-examples/
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