Traditional approaches to medical product development rely on generating pages upon pages of analysis results to describe the safety and effectiveness of novel therapies. Study teams struggle to understand and communicate the story hidden within the data to their colleagues. First and foremost, with the high cost of conducting translational clinical research, it is common to collect as much data as possible on as many endpoints as possible. This phenomenon is further reinforced due to our limited understanding of biological mechanisms and pathways, including the potential genomic underpinnings of a disease or treatment response.
Ben Shneiderman stated that “the purpose of visualization is insight.” Therefore, the goal of this short course is to describe data visualization techniques to aid in the understanding and communication of results from applications in clinical trials and genomics research. Numerous practical illustrations and examples from the literature will be presented. To be accessible to a wide audience, this course will focus on principles and interpretation, and limit technical jargon.
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Download and fill out our Justification Letter to demonstrate to your supervisor why this is a must-attend event.
Enhance your experience and register for two or more short courses at the same time and receive $50 in savings.
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Upon completion of registration, participants will gain access to the following:
- Live Event Access
- Presentation Slides
- Access to recorded sessions, on demand for 4 months post event
- Describe the transition from traditional methods of data analysis to visual approaches
- Identify life science data using one or more data visualizations
- Assess the strengths and limitations of various graphical techniques
- Explain the “data story” of numerous clinical research, examples using data visualization techniques.