In epidemiology, the sample size is crucial as it directly impacts the reliability and validity of study findings. A well-calculated sample size ensures that the study results are representative of the target population, thus enhancing the generalizability of the findings. Small sample sizes can lead to biased results and lower the statistical power of the study, making it difficult to detect significant associations or differences.
