Use of the beta-binomial model for central statistical monitoring of multicenter clinical trials

Desmet, Lieven;Venet, David;Doffagne, Erik;Timmermans, Catherine;Buyse, Marc;et.al.
(2017) Statistics in Biopharmaceutical Research — Vol. 9, n° 1, p. 1-11 (2017)

Files

No attached file found for this publication.

Details

Authors
  • Author
  • Venet, DavidULB
    Author
  • Doffagne, ErikCluepoints s.a.
    Author
  • Timmermans, CatherineUCLouvain
    Author
  • Author
  • Buyse, MarcHasselt University, Belgium
    Author
Show more
Abstract
As part of central statistical monitoring of multicenter clinical trial data, we propose a procedure based on the beta-binomial distribution for the detection of centers with atypical values for the probability of some event. The procedure makes no assumptions about the typical event proportion and uses the event counts from all centers to derive a reference model. The procedure is shown through simulations to have high sensitivity and high specificity if the contamination rate is small and the atypical event proportions are the result of some systematic shift in the underlying data generating mechanism.
Affiliations

Citations

Desmet, L., Venet, D., Doffagne, E., Timmermans, C., Legrand, C., Burzykowski, T., & Buyse, M. (2017). Use of the beta-binomial model for central statistical monitoring of multicenter clinical trials. Statistics in Biopharmaceutical Research, 9(1), 1-11. https://doi.org/10.1080/19466315.2016.1164751 (Original work published 2017)