Adaptive Trial Designs - Alex Kaizer @ ERD Conference 6.5.19

Adaptive Clinical Trials: From Basics to Bayesian

Objectives:
1. The definition of an adaptive clinical trial design according to the FDA
2. The general classes of trial elements that are adaptable
3. Determine what situations adaptive designs are appropriate

Adaptive clinical trials come in a variety of designs, adaptable elements, and statistical frameworks. In this presentation we will start by defining what adaptive designs are and some of the basic elements that are "adaptable" according to the Food and Drug Administration. We will then transition into an exploration of how Bayesian methods are being used to empower adaptive clinical trials with some examples of existing designs and methods.

[juanete]

Do we need to use cross-validation in bayesian analysis to control overfitting?

[juanete]

How do you specify a MAMS model in R with the lme4 library (or any alternative)? (dropping arms and taking into account the correction of type-I errors?
How do you compensate the error type-I when different arms have different duration?

[willnotburn]

Great stuff! Question: why is adaptive design a new thing? Bayes Theorem was formulated in the 18th century. Why has the so-called traditional trial design not been adaptive all along?