Although the frequentist paradigm has been the predominant approach to clinical trial
design since the 1940s, it has several notable limitations. Advancements in computational …

The success of a new drug is assessed within a clinical trial using a primary endpoint, which
is typically the true outcome of interest—for example, overall survival. However, regulators …

Testing the presence of mediation effects is important in social science research. Recently,
Bayesian hypothesis testing with Bayes factors (BFs) has become increasingly popular …

Experimental design represents the typical context in which the interplay between Bayesian
and frequentist methodology is natural and useful. Before the data are observed, it is licit …

Many sample size criteria exist. These include power calculations and methods based on
confidence interval widths from a frequentist viewpoint, and Bayesian methods based on …

Safety assessment is essential throughout medical product development. There has been
increased awareness of the importance of safety trials recently, in part due to recent US …

Il volume, giutno alla seconda edizione, espone, nella prima parte la teoria delle decisioni in
condizioni di incertezza nelle sue linee generali, senza fare riferimento a contesti applicativi …

This article is motivated by an interest in comparing inferences made when using a
Bayesian or frequentist statistical approach. The article addresses the study of one-sided …

Decision-making is central to every phase of drug development, and especially at the proof
of concept stage where risk and evidence must be weighed carefully, often in the presence …

The hybrid frequentist-Bayesian approach to sample size determination is based on the
expectation of the power function of a test with respect to a design prior for the unknown …