Two Bayesian clinical trial designs that perform subgroup-specific decision making and inference based on elicited utilities of patient outcomes are reviewed. The first is a randomized comparative ...

We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...

Quantum designers: Florian Marquardt (left) and Leopoldo Sarra have shown how deep Bayesian experimental design can be applied to quantum many-body systems. (Courtesy: Leopoldo Sarra) As quantum ...

The Simon two-stage minimax design is a popular statistical design used in Phase II clinical trials. The analysis of the data arising from the design typically involves the use of frequentist ...

This is a preview. Log in through your library . Abstract The Bayesian theory of optimal experimental design for the normal linear model has been developed under the assumption of known variance. The ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 61, No. 2 (MARCH 2012), pp. 237-251 (15 pages) Data from experiments in steady state enzyme kinetic studies and ...

Bayesian Information Design and Mechanism Optimization is an interdisciplinary field that synthesises insights from economics, statistics, and game theory to address challenges of asymmetric ...

WILMINGTON, N.C. & COLLEGE STATION, Texas--(BUSINESS WIRE)-- PPD, Inc. (Nasdaq: PPDI) and Berry Consultants, LLC today announced they have entered into a collaboration in the area of Bayesian ...

WILMINGTON, N.C. & COLLEGE STATION, Texas--(BUSINESS WIRE)--PPD, Inc. (Nasdaq: PPDI) and Berry Consultants, LLC today announced they have entered into a collaboration in the area of Bayesian ...