TL35: Challenges and Opportunities of Statistics in Oncology Immunotherapy
*Yi He, Celldex Therapeutics Lixia Jiao, Sanofi Keywords: Oncology, Immunotherapy, hypothesis testing, statistical modeling, biomarker Cancer immunotherapies provides new hopes for cancer patients such as melanoma and lung cancer. Given the particularly different mechanism of action for immunotherapy comparing to chemotherapy, the way to assess the drug effect is evolving. The drug effect may display a 'delayed' phenomenon, i.e. observed after patents receiving the drug for a while. In medical community, several approaches are proposed for this consideration such as immune-related response criteria (irRC) and immune-related RECIST. In addition, immune response data collected after patients receiving the drug may correlate to the clinical outcomes, and may also correlate to other biomarkers such as genetic markers. As statisticians, how can we take consideration of these observations in statistical modeling and hypothesis testing?
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Key Dates
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June 3, 2014 - September 7, 2015
Online Registration -
June 3, 2015 - August 15, 2015
Housing -
July 31 - August 17, 2015
Invited Abstract Editing -
August 10, 2015
Short Course materials due from Instructors -
August 26, 2015
Advanced Registration Deadline -
September 7, 2015
Cancellation Deadline -
September 16 - 18, 2015
Marriott Wardman Park, Washington, DC