Simulating Adaptive Clinical Trials – Where to Start and How to Expand Part 1

Introduction to simulating adaptive clinical trials in R. This series will consist of presentation and hands on videos teaching how to develop custom simulation software in R.

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Simulating Adaptive Clinical Trials – Where to start and how to expand

This series introduces the concept of clinical trial simulation and custom R source code development. Through a sequence of examples, this series will begin at a simple clinical trial and progress to complex design concepts including platform trials. The videos will alternate between explanations of key concepts and hands on R development utilizing R Studios. Each example will provide a new concept or skill to increase the viewers understanding of clinical trial simulation.
The series would consist of several parts each having short videos ranging in 5 minutes to 30 minutes.
Section 1: Introduction to Clinical Trial Simulation in R

Section 2: Start Simple - Development of a fixed sample design in R

Section 3: Extending the fixed design to a sequential design with outcome adaptive randomization

Section 4: Expanding the design to including early stopping for futility or success

Section 5: Sensitivity simulations understanding the difference between the analysis model and simulation model

Section 6: Utilization of patient subgroups

Section 7: Introduction to JAGS and the MCMC R package

Section 8: Bayesian Go -No Go framework

Section 9: Bayesian Predictive Probabilities

Section 10: Simulating Platform trials – Utilizing a PlatformTrialSimualtor package built in R

Supplementary Section:
Introduction to testing and driven development in R – Utilizing testthat

S3 classes and how to write generic simulations

[chuanwuzhang]

Excellent! Dr. Wathen, thank you so much !

[gwc]

Very cool! A great start to the BIOP YouTube Channel!

[ahmedabuali]

Thanks, it's great, do you have lectures about dose finding?