activity
20222025
collaborators

6 papers

stat.ME2025

Principled type I error rate inflation in two-arm clinical trial designs with external control information borrowing

Silvia Calderazzo, Manuel Wiesenfarth, Vivienn Weru +1

External information borrowing is often considered in order to improve a clinical trial's efficiency. The Bayesian approach borrows such external information by specifying an infor…

stat.ME2025

Large Sample Inference with Dynamic Information Borrowing

Sergey Tarima, Silvia Calderazzo, Mary Homan

Large sample behavior of dynamic information borrowing (DIB) estimators is investigated. Asymptotic properties of several DIB approaches (adaptive risk minimization, adaptive LASSO…

stat.ME2024

Information borrowing in Bayesian clinical trials: choice of tuning parameters for the robust mixture prior

Vivienn Weru, Annette Kopp-Schneider, Manuel Wiesenfarth +2

External data borrowing in clinical trial designs has increased in recent years. This is accomplished in the Bayesian framework by specifying informative prior distributions. To mi…

stat.ME2023

Simulating and reporting frequentist operating characteristics of clinical trials that borrow external information

Annette Kopp-Schneider, Manuel Wiesenfarth, Leonhard Held +1

Borrowing of information from historical or external data to inform inference in a current trial is an expanding field in the era of precision medicine, where trials are often perf…

stat.ME2022

Robust incorporation of historical information with known type I error rate inflation

Silvia Calderazzo, Annette Kopp-Schneider

Bayesian clinical trials can benefit of available historical information through the elicitation of informative prior distributions. Concerns are however often raised about the pot…

stat.AP2022

Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

Silvia Calderazzo, Sergey Tarima, Carissa Reid +9

Clinical trials disruption has always represented a non negligible part of the ending of interventional studies. While the SARS-CoV-2 (COVID-19) pandemic has led to an impressive a…