Adequate sample sizes are critical to achieving reliable and generalizable results in epidemiological studies. Small sample sizes can lead to sampling errors and lack the statistical power to detect meaningful associations. This can result in Type II errors, where true associations are missed, and the study conclusions may be misleading.
