3 papers
stat.CO2026
Ready for the Clinic? A Survey of Open-Source Software for Response-Adaptive Randomization in Clinical Trials
Stina Zetterstrom, David S. Robertson, Sofía S. Villar
Response-adaptive randomization (RAR) modifies treatment allocation probabilities during a clinical trial as response/outcome data accumulate, with the aim of improving patient ben…
stat.ME2026
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…
stat.ME2023
SelectionBias: An R Package for Bounding Selection Bias in Causal Estimands
Stina Zetterstrom, Ingeborg Waernbaum
Selection bias may arise when there are dropouts or missing data in the analysis, or when subjects are included or excluded in the analysis based upon some selection criteria for t…