The researchers looked at how sample size affects the reliability of clinical research studies. They found that having a larger sample size can increase the power of the test, which is important for getting accurate results. By decreasing the chance of errors and increasing the effect size, researchers can determine the right sample size needed for different types of statistical tests. Overall, having a larger sample size is crucial for ensuring the validity of clinical research findings.