Area of interest
Dr. Ibrahim's general areas of research are Bayesian inference, missing data problems, and genomics. He has an established track record in methodological and collaborative research, and he has four NIH supported R0-1 grants for developing statistical methodology related to cancer and genomics research. His work in Bayesian statistics includes prior elicitation, model selection, survival analysis, generalized linear models, and computational methods. His missing data work has focused on maximum likelihood methods for parameter estimation in the presence of missing response and/or covariate data in generalized linear models, models for longitudinal data, and survival models. His genomics work has focused on Bayesian model-based methods for the analysis of DNA microarray data. He has also directed 7 doctoral dissertations to date, one of which was titled Bayesian Models for Gene Expression Analysis". He is also the Principal Investigator (PI) of a recently funded Training Grant titled "Biostatistics for Genomics and Cancer." This prestigious grant was awarded to the Department of Biostatistics at UNC in May, 2004, and provides funding for 5 pre-doctoral and 2 post-doctoral students in Biostatistics. He has published over 120 research papers, most of which are in the top statistical journals. He has written two books at the advanced graduate level on Bayesian survival analysis and Monte Carlo methods in Bayesian computation.He is a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), and an elected member of the International Statistical Institute (ISI). On the collaborative front, Dr. Ibrahim has over ten years of experience working in cancer clinical trials at the Dana-Farber Cancer Institute at Harvard and the Lineberger Cancer Center at UNC. He is currently the biostatistical core leader of a recently funded GI SPORE grant at UNC, and is currently a senior faculty advisor on the Lineberger Cancer Center Core Grant. Most of Dr. Ibrahim's statistical papers have been published in leading statistical journals, including Biometrika, the Journal of the American Statistical Association, the Journal of the Royal Statistical Society - Series B, and Biometrics. In addition, he is the author/co-author of thirteen book chapters.
Awards and Honors
- 1999- Fellow, American Statistical Association
- 2000- Fellow, Institute of Mathematical Statistics
- 2000- Elected member, International Statistical Institute