Estimating a patients mortality risk is important in making treatment decisions.Treebased methods are useful tools to identify risk groups and conduct prediction by employing binary recursive partitio
Phase Ⅰ designs traditionally use the dose-limiting toxicity(DLT),a binary endpoint based on the first treatment cycle,to locate the maximum-tolerated dose(MTD)assuming a monotonic relationship betwee
Computer simulations based on computational fluid dynamics,finite element analysis,discrete element models and multi-physics codes are widely used in automotive,finance,data centers and many other app
Much attention has been paid to estimating the causal effect of adherence to a randomized protocol using instrumental variables to adjust for unmeasured confounding.
To monitor the incidence rates of cancers,AIDS,cardiovascular diseases,and other chronicle or infectious diseases,some global,national and regional reporting systems have been built to collect/provide
Compositional data arise naturally in many practical problems and the analysis of such data presents many statistical challenges,especially in high dimensions.
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.