This article reviews recent advances in missing data research using graphical models to
represent multivariate dependencies. We first examine the limitations of traditional …

This paper presents a brief overview of the recent literature on adaptive design of clinical
trials from a Bayesian perspective for statistically not so sophisticated readers. Adaptive …

BACKGROUND AND OBJECTIVE: Legitimate opioid use is associated with an increased
risk of long-term opioid use and possibly misuse in adults. The objective of this study was to …

We address the problem of deciding whether there exists a consistent estimator of a given
relation Q, when data are missing not at random. We employ a formal representation …

Abstract Response-Adaptive Randomization (RAR) is part of a wider class of data-
dependent sampling algorithms, for which clinical trials are typically used as a motivating …

Randomizing patients among treatments with equal probabilities in clinical trials is the
established method to obtain unbiased comparisons. In recent years, motivated by ethical …

Covariate-adaptive randomization (CAR) procedures are frequently used in comparative
studies to increase the covariate balance across treatment groups. However, because …

This paper proposes an adaptive randomisation procedure for two-stage randomised
controlled trials. The method uses data from a first-wave experiment in order to determine …

Adaptive enrichment designs for clinical trials may include rules that use interim data to
identify treatment-sensitive patient subgroups, select or compare treatments, or change entry …

Background In recent years, experience on the application of adaptive designs in
confirmatory clinical trials has accumulated. Although planning such trials comes at the cost …