The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.
The Cytel YouTube Channel hosts a wealth of video presentations from Cytel experts as well as external industry and academic speakers about various aspects of clinical trial designs and their implementation. In this blog, we've gathered 6 popular resources from the channel on topics from quantitative decision-making through to overcoming challenges in management of oncology trials. Read on to learn more and access the videos.
Predicting the course of a clinical trial is something which people will always want to do-whether for statistical reasons, planning reasons or business reasons. In this blog we look at examples of where prediction goes off course, and how we can resolve these issues. We also share valuable video and slidedeck resources from our VP Consulting and Software, Yannis Jemiai.
Last week, we were delighted to announce the release of East 6.4 bringing further cutting –edge approaches to the East user community. East is the industry standard platform for clinical trial design, simulation, and monitoring, improving scientific productivity during the critical planning stages of clinical development. In this blog we catch up with Yannis Jemiai, VP of Cytel to gain some behind-the-scenes insights into the development and new features of this important release.
Photos leaked from JSM 2014 appear to show the Reverend Bayes partying with his entourage at the Cytel Cocktail Hour, held at Boston’s Seaport Hotel on August 4, 2014. Bayes is, of course, one of the stars of Cytel’s East 6.3, a modular software package driving drug development through high quality trial design and simulations. Bayes's contributions to the East ESCALATE and East PREDICT modules are posited to transform early phase dose-escalation and interim decision-making. The Reverend has also made scene-stealing cameo appearances in a number of projects with Cytel Consulting.
In anticipation of Cyrus Mehta’s webinar next week on new predictive analytics tools for trial forecasting, we thought we might give you a few introductory notes on the nature and purpose of Predicted Interval Plots (better known as PIPs).
What are PIPs?
The FDA’s Tatiana Prowell (Breast Cancer Scientific Lead in the Office of Hematology & Oncology Products) recently gave an interview to the Nature Review Drug Discovery, in which she discusses the top three pitfalls faced by drug developers in oncology. Issues which Prowell cite include: selection of appropriate dosage, trial designs without sufficient thought given to interim data, and untimely decisions on the use of biomarkers.
According to the article, “some 90% of drugs that enter phase 1 eventually fail.” The prevalence of these pitfalls is noteworthy for oncology drug development, not least becaues of how easy they are to avoid.When coupled with innovative trial design can achieve significant benefits in efficacy and cost-effectiveness. For example, model-based dose-escalation methods can be used to improve the model dose toxicity profile of the drug in question. Cytel Statistician Charles Liu shows how simple it is to use Cytel’s software to select the optimal dose to carry forward.