The course focused methods to analyze longitudinal data in cancer research. Known for its rigorous approach, the course provided a unique opportunity for attendees to engage directly with the team behind its development.
Nhung first learned about the course a few years ago during the last visit of Pharmasafe to Professor Antoine Pariente and his team in Bordeaux. The course, which spans four days, emphasizes hands-on experience in modeling longitudinal data—an essential skill for analyzing the MOBA data from Norway, a project closely aligned with Nhung's current research interests.
The course was structured to encourage open discussions and collaborative problem-solving. Participants, which included PhD students, postdoctoral researchers, and professors from several European countries, shared their research challenges and brainstormed solutions together.
Nhung highlighted several key takeaways from the course. In particular, it allowed her to address specific questions related to her research, enhancing her understanding of computational methods she aims to implement in her studies. The insights gained are expected to influence her approach to handling large datasets, making her research more efficient. As part of the visit, she also spent a day attending the "DRUGS-SAFER" group meeting and met with Professor Antoine Pariente to discuss collaborative opportunities.
Nhung was also able to give a presentation to the PharmaSafe research group at the Department of Pharmacy, UiO, to share details about this R package and the course. This was followed by discussions from the PharmaSafe team about its applications in their pharmacoepidemiological studies.
Reflecting on her experience, Nhung expressed gratitude for the opportunity provided by iAPOGEE, which supported her attendance. She encourages other researchers to consider participating in similar courses, as they can offer essential skills and collaborations that drive impactful research forward.