Temporal confounding is essential to address because it can severely bias the results of epidemiological studies. Ignoring these time-related factors can lead to incorrect causal inferences, affecting public health policies and clinical guidelines. Therefore, understanding and mitigating temporal confounding is vital for producing reliable and valid scientific evidence.
