How Does Variability Affect Epidemiological Studies?
Data variability can significantly impact the outcomes of epidemiological studies:
Precision: High variability can reduce the precision of estimates, making it harder to detect true associations. Bias: Measurement error and other forms of variability can introduce bias, leading to incorrect conclusions. Power: Greater variability may require larger sample sizes to achieve adequate statistical power.
