In today’s episode, we’re talking with a niche part of clinical research many statisticians never get actively involved in: DMCs (Data Monitoring Committees).
David Kerr comes with a deep knowledge and long experience in this setting. We’ll speak about:
- What is a DMC?
- What is the role of a DMC statistician?
- What are the best skills and traits of the DMC statistician
Join us while we discuss these questions with David and learn more about the following points:
- How did David get to this position as a biostatistician at a CRO?
- How is it made sure that information from the DMC stays within the DMC?
- What is David’s most challenging and most exciting experience he had while working in a DMC setting?
- When working on open-label trials, it is sometimes requested to “artificially” blind the date but have a DMC review the unblinded data. Has he come across these settings as well, and what’s the challenge he sees here?
References:
https://www.linkedin.com/in/dmcdavid
https://www.cytel.com/blog/0-key-qualifications-for-independent-statisticians-reporting-to-the-dmc
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David Kerr
Director, DMC Services at Axio Research
His day-to-day activities involve supporting Data Monitoring Committees (DMCs). DMCs review clinical study data throughout the course of the study to ensure the study is still ethical to continue, based on safety, efficacy, futility, and study conduct considerations.
He has worked on 130 studies and attended over 650 DMC meetings, in disease areas ranging from oncology and cardiovascular to obesity and rheumatology. His goal is to make sure the DMC has the best information available to help them make educated recommendations for the success of the trial and the protection of the study participants.
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This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
