Agency Statistical Consulting
A native upstate New Yorker, I attended the University of Rochester and then SUNY Upstate Medical University. I completed an active duty residency in family medicine at Scott AFB in southern Illinois and then served as chief of primary care, consultant physician to the mental health clinic, and medical director of the crash-fire-rescue EMS education program at Griffiss AFB in Rome, NY. After leaving the Air Force, I spent about 25 years teaching and practicing family medicine in New York's Southern Tier. I served 15 years as medical director of a county health department, and I taught public health and bioethics.
Years ago I took a few graduate statistics courses, but a few courses does not a statistician make, so from 2007 to 2012 I completed a masters degree in statistics at Texas A & M University. I rather unexpectedly became involved in public health, found it very rewarding, and completed a master of science degree in public health via the London School of Hygiene and Tropical Medicine.
I am honored to serve on our local EMS Council and Regional Emergency Medical Advisory Committee. I also served 15 years on the board of trustees of our local public library.
To my knowledge, physician-statisticians are rather rare. I think it is a valuable combination of skills. I hope to offer affordable, professional statistical services and training, enhanced by extensive clinical and operational experience, where they are needed but might not be readily available. This would include all manner of public service agencies, hospitals, schools, libraries, and researchers without easy access to university statistical support. This is my way of continuing a long career of public service.
Except for the crossbar, the "A" is a plot of a beta distribution. The beta distribution is confined to the interval between 0 and 1, so it can be used to model proportions (or by extension, percentages) when the unit of analysis (the entity on which measurements are taken) is a population as a whole, rather than the individual members of that population. For example: