The sample size is crucial in cancer research because it affects the power of the study to detect a true effect. A study with a small sample size may fail to detect a significant effect due to a lack of statistical power, while a study with an excessively large sample size may detect trivial effects that are not clinically significant. Therefore, determining an appropriate sample size through power analysis is essential to balance these considerations.
