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Activity Number: 496 - Building a Computing Age #StatisticsCurriculum for Biomedical Scientists
Type: Invited
Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Teaching of Statistics in the Health Sciences
Abstract #326878 Presentation
Title: Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center
Author(s): Sujata M Patil* and Ushma Neill and Jaya M Satagopan
Companies: Memorial Sloan Kettering Cancer Center and Memorial Sloan Kettering Cancer Center and Memorial Sloan Kettering Cancer Center
Keywords: biomedical science; teaching statistics; cancer; collaboration; computing

In cancer research, the associations between genomic, exposure, and outcomes have advanced the scientific cancer community's ability to formulate and test innovative therapies that reduce and eradicate the impact of cancer. The nuanced and unique research questions in modern cancer research have resulted in the development of innovative quantitative approaches to evaluate data, including increased wide-scale collaborations using common data sources. Consequently, statistics and computing have become the sine qua non of current cancer biomedical research. As novel statistical methods and computational tools are developed to address the biomedicine data deluge, so has the urgent need to train biomedical researchers on foundational principles of statistical design that will facilitate a clear understanding of concepts underlying modern analysis approaches. In this talk, we will discuss our recent efforts to build such a statistics curriculum for post-doctoral biomedical scientists at a free-standing cancer center. We will share our experiences in the development of the curriculum and provide insights from the students and their laboratory lead's perspective.

Authors who are presenting talks have a * after their name.

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