
Join us for the next instalment of the STAGE International Speaker Seminar Series (ISSS) with
Richard Simon
Chief, Biometric Research Branch Head,
Section on Computational and Systems Biology
Division of Cancer Treatment & Diagnosis
National Cancer Institute
Talk Title:
Development of Predictive Classifiers Based on High Dimensional Data Validation for an Intended Use
Abstract:
Biotechnology has provided whole genome assays that can serve as
powerful tools for elucidation of biological mechanisms and development
of predictive models. When the number of candidate variables are greater
than the number of cases available, special methods are needed for
developing and validating useful models and for validating them. This talk will describe some of these methods. The talk will also describe some
applications of predictive models in cancer therapeutics and emphasize
the importance of identification of intended use early in the development
process.
Speaker Profile:
Richard Simon is Chief of the Biometric Research Branch and head of the
Section on Computational and Systems Biology in the Division of Cancer
Treatment & Diagnosis of the National Cancer Institute. Dr. Simon holds
a doctoral degree in applied mathematics and computer science from
Washington University in St. Louis, Mo. He is a fellow of the American
Statistical Association and a former member of the Oncologic Drug
Advisory Committee of the FDA. He is the architect of BRB Array Tools
software and author of Using Genomics in Clinical Trials and Predictive
Medicine (Cambridge U. Press 2013). He is the recipient of the 2013 Karl
Peace award of the American Statistical Association “for contributions
that have played a pivotal role in bridging the gap among statistics, clinical
research, and translational medicine to improve human health.
Speaker Poster:

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The event is finished.
Local Time
- Timezone: America/New_York
- Date: Nov 07 2014
- Time: 12:00 pm - 1:00 pm
Location
Organizer
CANSSI Ontario
Website
https://canssiontario.utoronto.ca/Other Organizers

-
Shelley Bull