Dr. Qeadan’s current area of research is developing statistical methods for immunology, microbiome and microenvironment data with emphasis on cytokines and chemokines. In particular, he is currently developing multivariate statistical methods for the new concepts of statistical polarization, second chains of correlation and rooted correlation network for analyzing and visualizing immunology data. Dr. Qeadan’s expertise extend to the areas of statistical methods for screening and diagnostic tests, meta-analysis, survival analysis, sample size calculation for pilot studies and clinical trials, linear models (mixed models), generalized linear models (logistic/Poisson regression), distribution theory (boundary cases), extreme value theory, time-series with regressors, and Bayesian statistics. He is also interested in data science and health informatics, surveys and sampling, Population Health and Big Data, geographic information systems (GIS) and statistics for Health, Ecology and Climate. Dr. Qeadan has a rich experience in teaching and currently he teaches the biostatistics courses for the MPH program at UNM and develops short courses and biostatistics seminars and talks for the Mountain West IDeA Clinical and Translational Research –Infrastructure Network (CTR-IN) and the UNM Clinical and Translational Science Center (CTSC). Dr. Qeadan is working with collaborators at the CTSC, CTR-IN, Pathology, Pediatrics, Cancer Center, Family and Community Medicine , epidemiology, biostatistics and preventive medicine in several projects including: HPV, Helminth infection, Hepatitis C Virus (HCV), Low Birth Weight, Cytokines, Sex-ratio, health disparities in cancer and many others.
