Several factors influence the determination of sample size in histological studies:
Effect Size: The magnitude of the difference or relationship you are trying to detect. Smaller effect sizes require larger sample sizes. Variance: The variability within the data. Higher variability often requires a larger sample size to detect differences. Significance Level (α): The probability of rejecting the null hypothesis when it is true. Commonly set at 0.05. Power (1-β): The probability of correctly rejecting the null hypothesis when it is false. Commonly set at 0.80 or 80%. Study Design: The complexity of the design can influence the required sample size. For example, a paired design may require fewer subjects than a parallel design.
