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Mikel Aickin Ph.D.

Mikel  Aickin Ph.D.

Professor, Family & Community Medicine

Epidemiology and Biostatistics Department

1295 N. Martin
Campus PO Box: 245211
Drachman Hall
Tucson, AZ 85724
(520) 299-5068


Mikel Aickin, Ph.D. (biostatistics) is Professor in Family & Community Medicine  and the College of Public Health(University of Arizona, Tucson) and the Helfgott Research Institute  (National College of Natural Medicine, Portland OR). He has more than 40 years of experience as a biostatistician, collaborating with researchers in a wide variety of areas in biomedicine, including cancer prevention, cancer genetics, public health, dietary assessment, dietary intervention, bone mineral measurement and exercise/diet intervention, weight loss intervention, blood pressure intervention, chiropractic intervention, mechanistic studies of acupuncture, and life-style behavior modification.  Dr. Aickin has been biometry core leader on program projects in cancer prevention and control, and CAM treatments for temporomandibular joint disorder.  He has been director of biometry at the Arizona Cancer Center, as well as at the University of Arizona Medical Center.  He has also spent 7 years at Kaiser Permanante analyzing large administrative and medical record databases for KPs 450,000 Portland membership, including a funded preventive services project in which he developed event-stream analysis. He has recently worked in several areas, including causal analysis, compartmental modeling, design of early-phase CAM research studies, and applications of dynamic systems theory to biomedicine.  In addition to collaborations with a wide variety of researchers, Dr. Aickin has completed methodology projects on the effectiveness of strategies of searching MedLine, causal analysis of breast cancer incidence, and a novel statistical method for co-occurrences of events having applications ranging from causal disease models to analysis of genomic/proteomic microarray data. His current activity is concentrated on comparative effectiveness research from electronic medical records, and applying dynamic systems modeling to intensive patient-based studies in a variety of conditions. He is Statistical Editor for The Journal of Alternative and Complementary Medicine, Associate Editor for the Kaiser Permanente Journal, and also Methods Section co-editor for BMC Complementary Medicine. For more information, visit

Research Synopsis

The University of Arizona