The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.
Cytel’s co-founder, Nitin Patel, conducted a webinar on designing clinical trials from a program-level perspective. His presentation helps us understand the value of designing clinical trials considering downstream consequences. Watch the on demand webinar to get insights on the role of simulation in optimizing clinical trials' performance from a program perspective and understanding the hybrid Bayesian-frequentist approach to clinical trial design.
We also had the opportunity to interview Nitin about his journey since he co-founded Cytel and got his views on implementing a program-wide strategy for pharma and biotech companies. Read the blog here.
Continue reading this blog for key highlights from the webinar.
As Chief Scientific Officer, Dr. Yannis Jemiai plays a pivotal role in maintaining Cytel’s well-established reputation for statistical excellence and our track-record of bringing innovative analytic approaches to the development of medicines for human health. With oversight for the corporate-level Scientific Agenda, Yannis ensures Cytel continues to be known for thought leadership in adaptive designs while expanding its reputation in Bayesian statistics, Complex innovative designs, and the use of Real-World analytics for regulatory and post-approval purposes. Yannis’ research interests include adaptive trial design, causal inference, decision theory, and regulatory affairs.
In this blog we talk to Yannis about his long-standing association with Cytel, his views on adaptive designs and their future; and we get some tips from him for young statisticians, programmers and those interested in pursuing a career in this field.
It is important to take a strategic approach to clinical development in order to minimize the potential for Phase 3 attrition. In our next webinar from the ‘Introduction to Complex Innovative Trial Design’ webinar series, Nitin Patel, co-founder of Cytel, will provide an overview of the concepts of program optimization. As a case study, we will describe a Phase 2 trial design based on program-level optimization. We utilize a hybrid Bayesian-frequentist framework to evaluate the impact of Phase 2 design choices on the probability of Phase 3 success, clinical utility, time to market, trial costs and expected net present value (ENPV) of the product. These factors include Phase 2 sample size, dose selection and go-no go decision rules for Phase 3, and Phase 3 sample size.
Click the button to register for the webinar on August 26, 2020.
In this blog, we talk to Nitin about his journey since co-founding Cytel; and gain insights on program optimization, the challenges for both big and small pharmaceutical/biotech companies, and how to go about the planning process.
Bjoern Bornkamp, Statistical Methodologist at Novartis and Jose Pinheiro, Senior Director, Johnson & Johnson provided their insights on adaptive designs for dose finding in Cytel’s latest webinar. The webinar demonstrates how adaptive and Bayesian techniques can be implemented for optimal dose-finding.
This two-part blog series provides a summary of the webinar. Read the first part to get key highlights from the presentation by Jose Pinheiro on the need to conduct dose finding Phase 2 studies, dose selection comparisons and the use of MCP-Mod for dose finding.
Continue reading this second part to learn about the methods of adaptive dose-finding, presented by Bjoern. Click the button to access the webinar recording and download the presentation slides
Bjoern Bornkamp, Statistical Methodologist at Novartis and Jose Pinheiro, Senior Director, Johnson & Johnson provided their insights on adaptive designs for dose finding in Cytel’s latest webinar. Finding the right dose in Phase 2 gives a potential new therapy its best chance to demonstrate efficacy during Phase 3. A well-executed dose-ranging trial therefore has the potential to alter the course of the entire clinical development program. This webinar demonstrates how adaptive and Bayesian techniques can be implemented for optimal dose-finding.
This two-part blog series will provide a summary of the webinar. In this first part, get key highlights from the presentation by Jose Pinheiro on the need to conduct dose finding Phase 2 studies, dose selection comparisons and the use of MCP-Mod for dose finding. Click the button to access the webinar recording and download the presentation slides
Cytel’s Biostatistics and Statistical Programming team provides integrated solutions, by blending the expertise of programming and experience of statistics. Being a notable Functional Services Provider (FSP) in the industry, we take pride in supporting our clients as they navigate the intricacies of 21st century drug development. As our FSP division continues to grow, we are looking to hire programmers and biostatisticians. Cytel's recruitment and FSP teams are hosting a one hour long Virtual Careers Open Day on Thursday, September 10th at 11:00AM EDT. Join us to learn more about our expanding FSP team, open career opportunities and what it means to be part of Cytel. Click on the button to register for the virtual event.
Cytel is hosting a complimentary webinar series that introduces biostatisticians and other members of the development team to some of the more commonly used complex innovative trial designs, the benefits of each, and the practical considerations for adoption. You can access the replay of the completed webinars and register for the upcoming ones by clicking on the button.
In this blog, we interview Dr. Thomas Burnett who is a Senior Research Associate in Medical and Pharmaceutical Statistics at Lancaster University. His main research interests are Adaptive clinical trials and personalized medicine. In the upcoming Cytel webinar on July 15, Thomas will be presenting on the foundational elements of enrichment strategies and adaptive designs.
Overcoming Clinical Development Challenges in Oncology with Innovative, Adaptive Designs: Complimentary Paper
Having its roots in the seminar rooms of the Dana Farber Cancer Institute, Cytel has a long record of establishing new methods in small samples, adaptive designs, Bayesian designs and multi-arm trials, to align statistical rigor to the goal of accelerating clinical development for oncology trials.
Last week, Cytel conducted its third webinar in the new introductory webinar series on Complex Innovative Trial Designs. Our speaker, Dr. Satrajit Roychoudhury is a Senior Director, Statistical Research and Data Science Center at Pfizer. In this webinar, Dr. Roychoudhury gets into the basics of phase I designs in oncology trials, explains the caveats of frequently used traditional designs and provides insights on how implementing a model-based approach can enable a better statistical inference and decision-making. You can watch the replay of the webinar and access the slides by clicking on the button.
We also had the privilege to interview Dr. Satrajit Roychoudhury. Read our blog where he talks about his interest in statistics, explains the concept of Bayesian model-based approaches and their importance in oncology trials.