Part 2 with Dr. Fang-Shu Ou: Statistical Pitfalls in Designing and Analyzing Clinical Trials
The collaboration between biostatistician and investigator is essential to conducting studies that transform patient care. In this second part of a two-part series with Dr. Fang-Shu Ou, she identifies some of the common pitfalls in designing and analyzing clinical trials. She discusses "p-value hacking" and a few of the challenges of interim analysis, specifically changing the enrollment criteria in the middle of a study. She also argues for the importance of biostatisticians to understand the science and to ask good questions at the start of the study. Dr. Ou is a Mayo Clinic biostatistician and the group statistician for ACCRU (the sponsor of this podcast).
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