Generalized Pairwise Comparison (GPC) is an innovative statistical method used to design and analyze clinical trials to make the best possible use of the data collected.
This allows the analysis to take into account several endpoints, providing deeper insights into the net treatment benefits.
Specifically, the GPC method enables you to:
- Assess clinical trials based on multiple endpoints leading to increased power
- Conduct meaningful risk:benefit analyses
Key takeaways
During this presentation, the participant will:
- Understand how this method can be used to evaluate multiple endpoints
- Identify when this statistical method can be applied to certain therapy areas (e.g. rare diseases)
- Gain insights into how this approach will ultimately lead to truly “patient-centric medicine”
Date: Thursday, April 21st, 2022
Time: 9:00 – 11:00 CET
Venue: Medicon Valley Alliance, Arne Jacobsens Allé 15, 2300 Copenhagen S, Denmark – Meeting room: Auditorium
Program
9:00 | Networking, registration and light breakfast |
9:30 | Welcome David Munis Zepernick, Head of Member Engagement and Communication, Medicon Valley Alliance Erik Falvey, Senior Director Business Development Europe at the International Drug Development Institute, IDDI |
9:35 | Generalized Pairwise Comparisons (GPC) – An innovative statistical method to design and analyze clinical trials Vaiva Deltuvaite-Thomas, MS, Research Biostatistician, IDDI |
10:20 | Q&A |
10:30 | Networking |
11:00 | End of Good Morning Meeting |
Speaker
Target audience
Statisticians and other professionals involved in the design and analysis of clinical trials.
Organized by | In collaboration with |
![]() |