How Do Limitations Affect Epidemiological Studies?

Test limitations can significantly impact the outcomes of epidemiological studies by introducing bias and affecting data interpretation. For example:

Misclassification: Errors in test results can lead to misclassification of individuals, which can distort estimates of disease prevalence and incidence.
Bias: Systematic errors in test results can introduce bias, affecting study validity and potentially leading to incorrect conclusions.
Confounding: Test inaccuracies can act as confounders, masking or exaggerating associations between exposure and outcome.