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Adaptive clinical trials: overview 1
Published on August 31, 2017 38 min
Other Talks in the Series: Adaptive Clinical Trial Design
Bayesian adaptive designs for clinical trials
- Prof. Benjamin Saville
- Vanderbilt University and Berry Consultants, USA
Frequentist approaches: sample size in adaptive clinical designs
- Prof. Tatsuki Koyama
- Vanderbilt University, USA
Hello everyone. Welcome to the Adaptive Clinical Trials course. This is the first lecture, we call this the overview. And my name is Yu Shyr. I am the director at the Vanderbilt Center for Quantitative Sciences.
In today's lecture, we will talk about several topics which is to highlight the adaptive clinical trial design for the entire course series. I will start to talk about the definition of an adaptive clinical trial and then I will follow by a Frequentist versus Bayesian versus likelihood. We know you can design an adaptive clinical trial based on the Frequentist-based or Bayesian-based or even likelihood-based. I will give you some highlights about the differences and similarities about those three big branches in statistical world. Followed by that, I will give you a very simple example of adaptive clinical trial design, which is I will give you a Bayesian and a Frequentist-based idea. And after that, I will give you an adaptive randomization trial based on the baseline covariates, introduce minimization, randomization for you. And then I will introduce the so-called biased urn study which is the adaptive randomization clinical trials based on the study outcome. I will end with the last topic which is the biomarker-adaptive clinical trial design. And I will come back to this biomarker adaptive clinical trial design when you complete the entire course training.