The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.
In this blog we turn to some reading matter, and interview Gautier Paux and Alex Dmitrienko about the recent book 'Clinical Trial Optimization with R'. The book explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. To learn more, read on for Paux and Dmitrienko's insights.
In this blog we are excited to unveil a new project which we have been hard at work on over the last few months.
2017 marks a very special milestone for Cytel – our 30th anniversary. Cyrus Mehta and Nitin Patel founded Cytel in 1987 with an initial objective to solve a specific problem in computational statistics.
Single ascending dose (SAD) and multiple ascending dose (MAD) studies are typically the first in human studies. They seek to gain information on safety and tolerability, general pharmacokinetic (PK) and pharmacodynamic ( PD) characteristics, and of course identify the maximum tolerated dose (MTD).
Conventionally, SAD and MAD studies were conducted separately, but increasingly are combined into an ‘umbrella’ protocol which addresses both SAD and MAD objectives.
As a group, Cytel had over 40 successful regulatory interactions last year, many of which supported approvals for innovative trial design approaches. In this blog we look at some of the key success factors for regulatory interactions regarding adaptive designs.
Francois Beckers, Global Head of Biostatistics & Epidemiology at Merck KGaA joined us at the East User Group Meeting in March and presented case studies of Merck KGaA’s experiences with Blinded Sample Size Re-estimation in early phase studies, more specifically in the context of biosimilar studies.
On March 16th and 17th the 5th East User Group Meeting took place in London. This very successful 2 days saw a variety of talks on aspects of clinical trial design innovation. Over the next couple of weeks, we will be reviewing some of the key topics which were addressed during the meeting.
In this post, we'll take a look at Paul Frewer of Astrazeneca's presentation on Decision Making in Early Phase Clinical Development. This talk was very well received by the delegates and prompted plenty of discussion afterwards.
Our Client's Challenge:
Can knowledge of the relationship between biomarkers and clinical endpoints help us to optimize an early development program and improve the probability of selecting the right dose in Phase 3?
Our client approached us hoping to expedite dose-finding with biomarkers in Phase 1b, and to design an optimal Phase 2b clinical endpoint trial to maximize probability of correct Phase 3 dose selection.
Last week the Cytel Blog discussed the benefits of using the Adaptive Maximizing Design [AM Design] for dose-finding trials involving clinical utility limiting therapies. However, there are other ways that a dose-finding trial can make use of frequent-adaptation maximizing designs. Here we look at what happens to early phase clinical development when an AM Design combines with another adaptive design that is slowly gaining popularity, namely the Sequential Parallel Comparison Design.