Efficacious and effective interventions usually involve multiple factors.And it is fantasy to have pilot information about the main effects and their interactions for all factors at the time of initia
Subgroup analysis becomes a popular practice in analyzing clinical trial data for identifying subgroup of patients who may benefit from the treatment of interest.
Copulas are widely used for modelling complex multivariate dependencies.Our study offers a framework for the application of pair-mixtures of rotated copulas to model asymmetric dependencies in bivaria
Research Objective: Racial disparities(RD)in healthcare outcomes in the U.S.have been identified in recent decades for total joint arthroplasty,particularly total knee arthroplasty(TKA).
Gaussian processes,together with an objective Bayesian implementation of the processes,have become a common tool for emulating(approximating)complex computer models.