Statistical Methods Development
Why collaborative research?
Cytel’s advanced statistical and operations research capabilities assist your company to overcome the challenges of clinical development—how to maximize the information obtained per dollar spent, while also reducing the risks. The collaborative research model pairs the clinical expertise of sponsors with Cytel’s analytical and software development expertise to rapidly deploy methods for improving clinical development productivity.
New methods yield more effective trial planning and implementation tools
Cytel has a considerable history of successfully developing and deploying custom clinical trial design and logistics management software for sponsors of all sizes, and many leading clinical technology suppliers.
Recent collaborations include projects with Wyeth, Merck Research Laboratories, Pfizer, Eli Lilly, Amgen, AstraZeneca, ClinPhone, The Harvard School of Public Health, and The Medical University of Vienna to produce and deploy integrated clinical operations software for:
- Adaptive phase 3 and seamless phase 2/3 trial design methods
- Bayesian and frequentist adaptive dose-ranging studies
- Drug supply simulations
- Dynamic randomization
- Patient accruals forecasting
- Design of multi-center trials
- Economics modeling to optimize trial design
“Working together with Cytel allowed us to move from research to reality with a swiftness not possible without Cytel’s expertise. Now we have new tools that help guide our trial design decision-making with significantly greater efficiency and accuracy.”
Vice President, Early Stage BiostatisticsTop-Five Pharmaceutical Company
Methodology Development and Implementation
Cytel’s statistical and computational experts identify and make practical advanced statistical methods. We work in conjunction with some of the world’s most accomplished biostatisticians (among them Stuart Pocock, Andy Grieve, Peter Bauer, Chris Jennison, Steve Lagakos, Anastasios Tsiatis, and Bruce Turnbull).
Statistical Research at Cytel
Cytel has implemented more breakthrough clinical statistical and trial execution methodologies than any other group in this field. This includes over twenty years of research funded by the National Institutes of Health on topics such as:
- Exact, non-parametric statistics
- Group sequential and adaptive trial simulations
- Monte Carlo methods for logistic regression
- Correlated data and missing data
Meaningful Innovation
Cytel creates custom tools that drive meaningful clinical innovation such as trial simulators, dynamic randomization and Bayesian-
based study design tools.
Employing an Integrated Software Development Methodology (ISDM) model, Cytel statisticians and software engineers collaborate with their sponsor counterparts while complying with international standards.