How Can Small Sample Sizes Impact Epidemiological Research?
Sample size is critical in determining the power of a study to detect significant associations. Small sample sizes can lead to unreliable results and reduce the generalizability of findings. They increase the risk of type II errors, where a study might fail to detect a true effect. To mitigate this, researchers should conduct power calculations during the study design phase and consider pooling data from multiple studies when feasible.
