Sample size determination is a key part of trial planning but is typically focussed on statistical success criteria such as Type I error and power.
Prediction calculations instead focus on more practical considerations such as accuracy or timing. In this webinar, we explore where these two areas intersect and how each can help us improve our understanding of the other.
Sample size determination is a commonly required step in the planning and design of trials. Sample size calculations are usually focused on statistical success criteria such as statistical power or interval length.
At the same time, there is significant interest in prediction calculations for practical considerations such as milestone timing prediction and the development of clinical prediction models.
These two tracks of understanding how to create successful trials have a number of interesting interactions which help us understand and improve upon the value of each.
In this webinar, we focus on two areas of interaction:
1 - Clinical trial milestone prediction for a survival group sequential design
2 - Sample size calculations for clinical prediction models.
Speaker: Ronan Fitzpatrick, Head of Statistics, Statsols
About Our Host
Ronan Fitzpatrick
Ronan Fitzpatrick is Head of Statistics at Statsols and the Lead Researcher for nQuery clinical trial design software. He has been a guest lecturer for many institutions including the FDA.