12 papers
A fast, flexible simulation framework for Bayesian adaptive designs -- the R package BATSS
Dominique-Laurent Couturier, Rainer Puhr, Stephane Heritier +2
The use of Bayesian adaptive designs for randomised controlled trials has been hindered by the lack of software readily available to statisticians. We have developed a new software…
Introducing precision-weighted bias as a performance measure to inform the inclusion of adaptive designs in meta-analysis
Martin Law, David S. Robertson, Sofia S. Villar +4
We propose a novel, intuitive measure of statistical performance: precision-weighted bias. Precision-weighted bias is defined as the unconditional bias of an estimator weighted by…
Operationalizing Allocation Probability Tests: Practical Guidance on Optimized Implementation for Power and Robustness
Stina Zetterstrom, David S. Robertson, Thomas Jaki +1
Recently, a new testing approach for response-adaptive clinical trials was proposed based on the allocation probabilities (AP) rather than the outcome data. While original work on…
Robust Bayesian Sequential Borrowing for Multi-Population Clinical Programmes
Erik Hermansson, Lynn Dunsire, David Svensson +1
We introduce Robust Bayesian Sequential Borrowing (RBSB), a framework for extrapolating evidence across adjacent subgroups in multi-population clinical programmes where studies are…
Evaluating Predictive Modeling Strategies for Predicting Individual Treatment Effects in Precision Medicine
Pamela M. Chiroque-Solano, M Lee Van Horn, Thomas Jaki
Precision medicine seeks to match patients with treatments that produce the greatest benefit. The Predicted Individual Treatment Effect (PITE)-the difference between predicted outc…
Optimal weighted tests for replication studies and the two-trials rule
David S. Robertson, Thomas Jaki
Replication studies for scientific research are an important part of ensuring the reliability and integrity of experimental findings. In the context of clinical trials, the concept…