6 citations · 8 across the 11 of their papers we have counts for
4 papers · 1 filter
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…