The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.
Making the Most of Your Data II: Optimizing Clinical Information in Trial Design and Implementation Using Bayesian Methods
While there is increasing optimism about the discovery of a COVID-19 vaccine, one of the less talked about aspects of such vaccines development are the lessons that can be used in other therapeutic areas. After all, COVID-19 vaccines development has uncovered numerous ways to design and execute trials within shorter time-frames and with less data.
One theme that has emerged consistently is the need to optimize the use of clinical information available, an endeavor well-supported by Bayesian methods.
Generating high-quality clinical data is a vital but challenging task in modern drug development. Unfortunately, in the current era of ‘big data’ and global clinical operations, spanning multiple sites and digital systems, protecting the quality of clinical data has become harder than ever.
Planning your data strategy is, therefore, crucial to ensure a high-quality evidence package and increase the chances of successful clinical development. However, as we discuss in our new eBook, planning a data strategy is a complex process involving various considerations that require significant amounts of time and expertise to fully address.
Read our eBook for expert insights on planning a data strategy that can help overcome key challenges in clinical development and boost your success.
In this blog, we discuss the many data-related challenges commonly faced in clinical development and how to implement a fail-safe data strategy that can overcome these challenges, bringing effective new therapies to patients.
It is widely acknowledged among drug developers that one of their most important assets is the data generated during clinical trials. Hence, it is no surprise that many companies plan and execute a strategy to protect the quality of the clinical data they produce. It is, however, easy to underestimate just how much time and expertise you need to address the numerous and complex considerations involved in the planning process.
Unlock top tactics and tips on how to plan a rock-solid data strategy to minimize risk and boost clinical success in our latest eBook.
If you are keen to find out how to optimize your clinical data strategy, read on to discover five of the top tips outlined in our eBook from specialists working in the Strategic Consulting, Clinical Research Services, and Data Management teams. Their global reach ensures top insights from every corner of the world.
With only two weeks left for this fabulous year to end, we would like to thank all our blog subscribers and new readers for following and appreciating the Cytel blog. This year, we collaborated with several experts from both within and outside the company to bring to you a range of interesting topics including real-world evidence, AI, challenges in rare diseases, patient-reported outcomes, data management, and our popular series “The Good Data Submission Doctor” and “Career Perspectives”. In this blog, we share with you the top 5 Cytel blogs that resonated most with our community in 2019.
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No one plans to have a trial whose data collection needs rescuing. However, lagging enrollment rates, operational struggles, and diminished budgets can leave some trials in need of intervention. A great deal has been written about how to prevent the need for rescues (e.g., more investment in study planning and improved communication between stakeholders). Far less has been said about how to assemble a rescue team – the roles that need to be filled and the process of analysis that ensures the completion of a failing trial.
Happy New Year! As we look ahead to future successes and the new advancements in drug development that 2019 will bring, we are taking a moment to reflect on the topics that resonated most with our community on the Cytel blog in 2018. While these 6 most popular blogs encompass a variety of topics from across the data science, statistics, and statistical programming space, they all have in common a focus on innovative practices and application of statistical, data management, and data science excellence to achieve better outcomes in drug development.
The Society for Clinical Data Management (SCDM) conference brought clinical data managers from around the world to Seattle-Bellevue, WA on September 23-26. The conference offered an unmatched opportunity to discover innovative solutions in the clinical data management industry. In this blog, we will share our data management colleagues' experiences, observed trends and contributions to the program.
In this blog, we share a new infographic based on this popular blog post illustrating some of the critical interactions that need to take place between data management and statistics groups to help ensure efficiency and data quality.
A number of the Cytel team were in Amsterdam, 3rd- 6th June 2018 for the PSI Conference. This year’s conference was held at the magnificent Beurs Van Berlage, a venue full of history and interesting architectural features. We took the opportunity to give delegates a first look at OK GO, our new clinical trial Go/No-Go decision-making software in this magnificent setting.
In this blog, we'll summarize some of the particular highlights from the sessions that our team members attended.