The end-product of pain research is information on e.g. a novel intervention. The quality of the research leading to that information affects its reliability and credibility. This presentation will cover some of the most prevalent statistical challenges in clinical pain research that can affect study quality. The focus will be on missing data, the connection between primary endpoint and sample size, and the overvaluing of p-values. In addition to a thorough description of each of these challenges, and a summary of their potential effects on the validity of pain research, solutions to these problems will be presented. All statistical challenges will be illustrated using examples from clinical pain studies.