The sample size is crucial in determining the study's power to detect an association. Small sample sizes can lead to low statistical power, increasing the chance of Type II errors (false negatives). Conversely, very large sample sizes may detect trivial associations that are not clinically significant. Thus, determining an appropriate sample size is essential for valid and reliable results.
