The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.
Last month, Cytel statisticians headed to Baltimore for the Joint Statistical Meetings and shared some of their latest research and insights. In this blog we will summarize our highlights -both from Cytel contributions and the sessions Cytel delegates attended. We also provide access to the valuable slide decks from the Cytel authored presentations.
At the recent JSM in Chicago, Cytel’s Sam Hsaio and Lingyun Liu alongside Genentech's Romeo Maciuca, presented a framework for inference in adaptive bioequivalence trials with unblinded sample size re-estimation.
In bioequivalence trials where the variance is often unknown, and the sample size small, using boundaries derived under the assumption of a normally distributed test statistic may lead to type I error inflation. This problem can be overcome with p-value combination methods, however these approaches generally do not directly provide confidence intervals for the geometric mean ratio on the scale of the original pharmacokinetic endpoint.
The Joint Statistical Meetings is the largest and arguably most highly respected gathering of statisticians in the world. It will bring together over 6000 statisticians for this year’s event in Chicago. As a large meeting, it can be a challenge to navigate and find the sessions which are going to be most valuable for your work. To help out, we've asked some of the leading lights of our statistical group which sessions are their top picks this year.