A special feature of Probability and Statistics Day at UMBC 2013 is that the conference, including the workshop, is open to all statistics graduate students
from UMBC and local universites free of charge; however, REGISTRATION IS REQUIRED! The deadline to register is Friday,
April 12, 2013. // REGISTER NOW
For more information, contact any member of the organizing committee:
Bimal Sinha
Conference Chair
443.538.3012
Kofi Adragni
410.455.2406
Yvonne Huang
410.455.2422
Yaakov Malinovsky
410.455.2968
Thomas Mathew
410.455.2418
Nagaraj Neerchal
410.455.2437
DoHwan Park
410.455.2408
Junyong Park
410.455.2407
Anindya Roy
410.455.2435
Elizabeth Stanwyck
410.455.5731
Participant Information
Elande Baro
Poster: Assessment of Drug Effects in Cancer Xenograft Models with Multiple Tumor Outcomes
The tumor xenograft model is an animal model that is often used in cancer drug development for demonstrating efficacy of a treatment regimen. In xenografts, severe combined immunodefficient mice are grafted with human cancer cells and then treated with different regimens of anticancer agents and tumor growth is measured over a period of time. One mouse is usually grafted one tumor. However, it is very important to investigate the efficacy of a treatment for multiple tumors grafted in one mouse. For instance, in breast cancer, the occurrence of multiple tumors affecting one or both breasts at initial diagnosis is possible. Non-informative missing may occur when a mouse is sacrificed while informative missing may occur when a tumor volume becomes unmeasurable. We present a quasi F-test for comparison of two treatments effects and a growth curve model for modeling the dose response relationship that can be used for analysis of cancer xenografts models of mice with multiple tumors, in the presence of missing data. Simulation results as well as a real data application ars provided. This is joint work with Dr Hongbin Fang and Dr DoHwan Park.
