Faculty
Roger S. Day, ScD
Research Interests
- Knowledge representation
- Software architecture for comprehensive modeling and validation
- Multi-scale modeling in cancer
- Strategies for overcoming drug resistance in cancer
- How pharmaceutical and biological interactions should be statistically modeled
Appointments and Positions
Associate Professor of Biomedical Informatics
Associate Professor of Biostatistics
Biomedical Informatics Training Program Core Faculty
Current Research Projects and Collaborations
Endometrial Cancer
Larry Maxwell, M.D., Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Walter Reed Army Medical Center, Washington, DC 2006—present
Recent Publications
Wang M, Day RS. Adaptive Bayesian design for phase I dose-finding trials using a joint model of response and toxicity. 2010 Jan. J Bioppharm Stat. 20(1), 125-44.
Day R. Failsafe automation of Phase II clinical trial interim monitoring for stopping rules. Clin Trials 2010, 7(1), 78-84.
Day RS. DAVID Query: Retrieval from the DAVID bioinformatics data resource into R. R package version 1.1.10. Bioconductor Release 2.4. (2009). Available at: http://www.bioconductor.org/packages/bioc/html/DAVIDQuery.html
Boak MB, M'ikanatha NM, Day RS, Harrison LH. Internet Death Notices as a Novel Source of Mortality Surveillance Data. Am J Epidemiol Epub 2007 Dec 12; 2008 Mar 1; 167 (5):532-9.