Selection Bias

What is selection bias?

Selection bias occurs when the participants included in a study are not representative of the larger population that the research is intended to generalize. This type of bias arises when certain individuals are more likely to be selected for the study than others, typically due to specific characteristics, behaviors, or circumstances. In clinical research, selection bias can lead to inaccurate results, as the sample may not accurately reflect the true diversity or variability of the broader population.

Why is selection bias important?

Selection bias is a critical factor to consider in clinical research as it can undermine the accuracy and generalizability of study findings. Understanding the potential sources of selection bias and implementing strategies to minimize it—such as randomization, stratification, and controlling for confounding factors—helps ensure that research outcomes are valid, reliable, and applicable to a broader population. By addressing selection bias, researchers can improve the robustness and credibility of clinical studies, ultimately benefiting patient care and treatment development.