Determining the appropriate sample size involves several factors, including the expected effect size, the desired level of statistical significance, and the power of the study. Researchers often use power analysis to calculate the minimum number of participants needed to detect a statistically significant effect. Additionally, the heterogeneity of the cancer type and the variability in patient responses can influence the required sample size.
