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.