#Strippa love launchcontrol trial

#Strippa love launchcontrol trial

Efforts to promote Bayesian approaches among statisticians and clinicians appear necessary.Īdaptive designs can make clinical trials more flexible by utilising results accumulating in the trial to modify the trial's course in accordance with pre-specified rules. We also examined the reasons for the limited use of Bayesian adaptive design methods in clinical trials and the areas of current and future research to address these challenges. The spread and use of these articles depended heavily on their topic, with 3.1% of the biostatistical articles accumulating at least 25 citations within 5 years of their publication compared with 15% of the reviews and 32% of the clinical articles. Most of the authors were from the US, and a large proportion was from the MD Anderson Cancer Center (University of Texas, Houston, TX). Most of the references found were biostatistical papers from various teams around the world. A bibliometric study was conducted using the PubMed and Science Citation Index-Expanded databases.

We aim to describe the international scientific production of Bayesian clinical trials by investigating the actual development and use of Bayesian 'adaptive' methods in the setting of clinical trials. Because of their flexibility, Bayesian methods have also been proposed for Phase I through Phase III adaptive trials however, it has been reported that they are poorly used in practice. Adaptive or 'flexible' designs have emerged, mostly within frequentist frameworks, as an effective way to speed up the therapeutic evaluation process.