The Citruslabs blog covers all things clinical trial patient recruitment and retention as well as exciting news and developments in the medical research industry. Browse our recent posts or search for a topic you're interested in to learn more.
Sampling bias is one of the most common threats to credible research results. If your study participants do not accurately represent your target population, your findings may look strong on paper but fail in the real world. Sampling bias occurs when the participants selected for a study are not representative of the population the results are meant to reflect. It matters because biased samples can distort outcomes, limit generalizability, and weaken the credibility of product
Attrition bias is one of the most common and least understood sources of error in clinical and consumer research. It shows up when participants drop out of a study and those dropouts are not random. For brands relying on study data to guide decisions, this can quietly undermine confidence, credibility, and trust. This article explains what attrition bias is, why it matters, how it happens, and what brands can do to reduce its impact when running human studies. Attrition bias
