How to Detect Questionable Research Practices in Clinical Trial Protocols

Questionable Research Practices (QRPs) often arise long before data analysis, during the protocol design phase, where ambiguity, analytical flexibility, and incentive pressures can quietly distort evidence generation. This talk introduces a structured, reproducibility-focused framework for detecting such red flags directly within clinical trial protocols. Using a real trial as a case study, it shows how subtle choices in registration, endpoint definition, blinding, and power assumptions can impact credibility, and how statisticians can systematically surface and mitigate these risks.