Having a formal degree in statistical programming isn’t a requirement—what matters most are analytical skills, coding expertise and a strong understanding of clinical trial processes.

In a 2014 study using the fragility index, researchers analyzed 400 randomized clinical trials and found that 1 in 4 trials with "statistically significant" p-values in fact had alarmingly low ...

Decentralized Clinical Trials (DCTs) are transforming how we collect clinical data, but this evolution brings unprecedented ...

Statistical fragility refers to the vulnerability of clinical trial results to minor changes in event outcomes. The fragility index quantifies this vulnerability by determining the minimum number ...

Statistical methods now being used in adaptive biomarker-driven clinical trials are reviewed. Some previous paradigms for clinical trial design can limit the development of more effective methods on ...

About us: We have an exciting opportunity for an early to mid-career academic for appointment as a Lecturer in Clinical Trials Statistics and Healthcare Technology. The post is based in the Department ...

Basket trials pose challenges to the statistical design, monitoring, and reporting of final results. The article by Hobbs et al 4 reviews basket designs implemented in oncology trials and discusses ...

The Winn CDA is one of two awards offered by the Robert A. Winn Diversity in Clinical Trials Award Program announced in November 2020, which aims to train, develop and mentor more than 580 diverse ...

The training kicks off in November with a six-day intensive educational workshop on clinical research. The program will pick up 40% of Hernandez’s salary so she can devote that time to research. The ...