Early Efficacy Analysis and Visualization in Oncology Clinical Trials Analysis and visualization of effectiveness at the early stage of oncology development

Kelci Miclaus, Advanced Analytics R & D Sr. Manager, Life Sciences, SAS Institute Inc.
Lili Li, Senior Software Developer, Life Sciences, SAS Institute Inc.

Oncology research in solid cancers has become a major therapeutic focus area in recent clinical trials and presents a unique challenge to demonstrate that new treatments are effective.

Due to the complexity of research design, traditional statistical methods such as survival analysis are not suitable for early detection of efficacy signals.In recent research trends and regulatory guidance, in addition to subject level visualization, we propose a comparison between Progress-Free Survival (PFS: Objective Response Rate) and Objective Response Rate (ORR) .

Three types of visualization methods, Swimmer Plot, Waterfall Plot, and Spider Plot, are the mainstream in evaluating multiple target lesions in solid cancer research.In this presentation, we introduce the newly added Progression - Free Survival, Swimmer Plot, and Tumor Response reports to JMP Clinical.These reports build a highly customized graph using the new features of JMP 14's graph builder.

In the review of JMP Clinical, it is possible to synchronize the state of the line by using the new function of JMP 14's virtual table join.This allows you to filter data across multiple analysis tables and reports using integrated tabbed reviews.