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Bethesda North Marriott Hotel and Conference Center

Apr 24, 2017 1:00 PM - Apr 26, 2017 4:30 PM

5701 Marinelli Road, , North Bethesda, MD 20852 , USA

DIA/FDA Statistics Forum

The DIA/FDA Statistics Forum fosters open discussion of timely topics of mutual theoretical and practical interest to biostatisticians and clinical trialists.

Session 8: Novel Statistical Methods in Oncology Studies

Session Chair(s)

Jeff  Maca, PhD

Jeff Maca, PhD

Senior Director, Biostatistics; Advisory Services Analytics, Quintiles, United States

With the development novel targeted agents and immunotherapy, the clinical trial designs and the statistical considerations that can achieve the objectives to demonstrate the treatment effects are critical. The advances in science provide an opportunity to target the population that benefits most with least risk. This has led to development of adaptive enrichment design strategies with more complex trial designs and a comprehensive trial network that can answer multiple objectives with multiple outcomes. Such protocols need careful advance planning with often little or minimal prior information and process has to be adaptive to fast changing environment with the development of novel therapies and drug approvals. In this session we will discuss features of such novel designs.

Learning Objective :

At the conclusion of this session, participants should be able to:

  • Explain statistical issues arising in oncology studies
  • Understand the impact of biomarkers and their use in oncology studies
  • Discuss advantages and disadvantages of Umbrella or basket trials

Speaker(s)

Rajeshwari  Sridhara, PhD

Rajeshwari Sridhara, PhD

Senior Biostatistician Consultant, Oncology Center of Excellence, FDA, FDA, United States

Session Co-Chair

Keaven  Anderson, PhD

Keaven Anderson, PhD

Scientific AVP, Methodology Research, Merck & Co., Inc., , United States

Speaker

Mary  Redman, PhD

Mary Redman, PhD

Lead Biostatistician, SWOG Lung Committee/LungMap, Assoc. Member, Clin Research, Fred Hutchinson Cancer Research Center, United States

Speaker

Kun  He, PhD

Kun He, PhD

Mathematical Statistician, Division of Biometrics V, OB/CDER/FDA, United States

Speaker

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