PhD
Associate Professor, Biostatistics
Gillings School of Global Public Health
UNC-Chapel Hill
Cancer Prevention and Control
Area of Interest
Xianming Tan, PhD, has research interests that include statistical methods relevant to the design and analysis of clinical trials, finite mixture models and their applications to revealing population heterogeneity, and interdisciplinary research. A converge of these interests also leads to the development of appropriate methodologies to more adequately explore the potentials of intensive longitudinal data for answering scientific questions. He is also involved in collaborative studies at the UNC Lineberger Comprehensive Cancer Center, working with physicians and researchers on clinical studies.
News and Stories
Biological pathways provide evidence for how to overcome barriers limiting cancer immunotherapies
UNC Lineberger researchers have found a possible way to overcome barriers that block anti-cancer immune responses. Their findings could have implications for treating solid tumors, including breast and pancreatic cancer.
Accurate assessment of heart rhythm can optimize chemotherapy use
Using the wrong mathematical formula to assess heartbeat rhythms may lead oncologists to inappropriately stop life-saving chemotherapy, according to research findings from UNC Lineberger scientists.
Study: Black women with breast cancer experience delayed, longer treatment than whites
One in seven black women with breast cancer had delays in starting treatment according to a study led by UNC Lineberger researchers Melissa Troester, PhD, and Marc Emerson, PhD.
Researchers identify traits linked to better outcomes in HPV-linked head and neck cancer
Using a new blood test that’s in development, University of North Carolina Lineberger Comprehensive Cancer Center researchers identified characteristics that could be used to personalize treatment for patients with a type of head and neck cancer linked to HPV infection. Researchers believe the findings, published in the journal Clinical Cancer Research, could help identify those …
