Attrition bias can lead to several issues, including:
Biased Estimates: The results may not accurately reflect the true associations because the remaining sample is no longer representative of the original population. Reduced Statistical Power: Loss of participants can reduce the sample size, making it harder to detect significant effects. Confounding: If dropout is related to both the exposure and the outcome, it can introduce confounding variables that distort the findings.
