The Food and Drug Administration (FDA) has started encouraging the use of adaptive designs for clinical studies. In essence, adaptive designs allow prospectively planned modifications to a clinical trial based on interim data, provided scientific validity (the ability to draw sound inferences) and data integrity (credibility and reproducibility) are preserved.
Read more about this and the discussions that you missed at the MassBio Forum on Adaptive Designs in Clinical Research that took place last month.
At the 2016 Duke Industry Statistics Symposium, Dr. Robin Bliss, in collaboration with Dr. Jing Wang of Gilead Sciences, lead a discussion on “Biomarker-Driven Clinical Trial Designs for Precision Medicine.” Dr. Bliss highlighted two Adaptive Enrichment Clinical Trials performed by Veristat as case studies for how to select and execute an enrichment clinical trial design.
An adaptive design is a clinical trial design that allows adaptations or modifications to aspects of the trial after its initiation without undermining the validity and integrity of the trial. An adaptive design consists of multiple stages. At each stage, data analyses are conducted and adaptations take place based on updated information to maximize the probability of success of a trial.