Evidence Synthesis for Clinical Trials: Use of Historical Data and Extrapolation -
Methods, applications and implementation with the R package RBesT
Are you keen to understand the foundations of the meta-analytic framework and its application to key drug development problems?
In this short course, we'll provide a statistical framework to use trial external evidence to better plan and/or incorporate external information into a trial. During the first part of the course we will introduce the meta-analytic predictive (MAP) model (Neuenschwander, 2010), to then focus on the key applications of the MAP approach in biostatistics.
These applications will be demonstrated using the R package RBesT, the R Bayesian evidence synthesis tools, which are freely available from CRAN. The second part of the course will also include hands-on exercises to enable participants to apply the presented approach themselves.