While interest in the application of machine learning to improve healthcare has grown
tremendously in recent years, a number of barriers prevent deployment in medical practice …

Background Adaptive clinical trials are growing in popularity as they are more flexible,
efficient and ethical than traditional fixed designs. However, notwithstanding their increased …

Background Adaptive platform trials allow randomized controlled comparisons of multiple
treatments using a common infrastructure and the flexibility to adapt key design features …

Adaptive designs are a class of methods for improving efficiency and patient benefit of
clinical trials. Although their use has increased in recent years, research suggests they are …

Balanced allocation of patients across treatments is a widely adopted and practical strategy
in clinical trials. Under the assumption of variance homogeneity, a balanced allocation is …

Efficient clinical trial designs are needed to speed up the evaluation of new therapies. The
multi-arm multi-stage (MAMS) randomized clinical trial designs have been proposed to …

Background: A common feature of many recent trials evaluating the effects of
immunotherapy on survival is that non-proportional hazards can be anticipated at the design …

Background Adaptive designs offer added flexibility in the execution of clinical trials,
including the possibilities of allocating more patients to the treatments that turned out more …

ABSTRACT A common problem faced in clinical studies is that of estimating the effect of the
most effective (eg the one having the largest mean) treatment among k (≥ 2) available …