Journal article
Utilizing Bayesian predictive power in clinical trial design
Abstract
The Bayesian paradigm provides an ideal platform to update uncertainties and carry them over into the future in the presence of data. Bayesian predictive power (BPP) reflects our belief in the eventual success of a clinical trial to meet its goals. In this paper we derive mathematical expressions for the most common types of outcomes, to make the BPP accessible to practitioners, facilitate fast computations in adaptive trial design simulations …
Authors
Harari O; Hsu G; Dron L; Park JJH; Thorlund K; Mills EJ
Journal
Pharmaceutical Statistics, Vol. 20, No. 2, pp. 256–271
Publisher
Wiley
Publication Date
March 2021
DOI
10.1002/pst.2073
ISSN
1539-1604