COS Quantitative Science Team Shines at JSM Virtual Event: A Deep Dive into Imputation Strategies
In the dynamic world of clinical outcomes research, the importance of reliable statistical methods cannot be overstated. With each passing year, the complexity of our datasets and the intricacies of our analyses are becoming more profound. Keeping this in mind, it brings immense pride to highlight the recent achievements of our COS Quantitative Science Team, which was prominently featured at the prestigious Joint Statistical Meeting (JSM) virtual event.
Spotlight on the Presentation
Their presentation focused on a study entitled, “Imputation Strategies within the Estimand Framework to Evaluate the Overall Likelihood of Patient Improvement in Longitudinal Trials”. The work, authored by L. Floden, H. Yu, S. Hudgens, and M. Bell, delved deep into the challenges and methodologies associated with imputation strategies.
In clinical outcomes research, missing data and patient drop-outs are common occurrences. This often makes the subsequent data analysis challenging and potentially less reliable. Therefore, the role of imputation — a method to replace missing data with substituted values — becomes indispensable. The study presented by our team scrutinized various imputation strategies, but not in isolation. The team approached this problem within the estimand framework, a modern clinical trial design and analysis paradigm that specifically defines what is to be estimated in the presence of intercurrent events like discontinuations.
The emphasis on evaluating the “overall likelihood of patient improvement in longitudinal trials” is commendable. Such a focus is not just academically intriguing but also of paramount importance for clinicians, patients, and policymakers alike. After all, the ultimate goal of clinical trials is to bring about patient betterment, and any statistical tool or method that aids in achieving this goal more accurately is undoubtedly of immense value.
A Reflection on the Achievement
Presenting at the Joint Statistical Meeting, one of the largest gatherings of statisticians worldwide, is no small feat. The event provides a platform for the brightest minds to share their research, insights, and innovative methodologies. The fact that our COS Quantitative Science Team was amongst those presenting speaks volumes about their dedication, expertise, and the caliber of their work.
Looking Ahead
As leaders in Clinical Outcomes Research, we continuously strive to push boundaries, question the status quo, and bring forward innovations that make a tangible difference in patient care. The presentation by the COS Quantitative Science Team is a testament to this commitment.
We congratulate L. Floden, H. Yu, S. Hudgens, and M. Bell on their outstanding work and presentation. Their achievements not only uphold the high standards set by our institution but also inspire all of us to aim higher, delve deeper, and contribute more profoundly to the world of clinical outcomes research.
Stay tuned for more updates and insights from the world of Clinical Outcomes Research.