Probabilistic modeling of hypobaric decompression sickness

I did probabilistic modeling on data from decompressions in altitude chambers as a means to develop safe strategies for decompression of aviators and astronauts. Two kinds of probability models, mechanistic and empirical, were fitted to the data I collected from 86 reports on 406 decompressions of groups of people (131,022 total exposures). From consideration of a simple mass balance of evolved gas, I formulated mechanistic models that serve as expressions of decompression sickness (DCS) "dose". Doses are statistically optimized to the DCS or venous gas emboli (VGE) dichotomous response data using the Hill equation and maximum likelihood. Each dose necessarily represents an isoincidence-isovolume isopleth when displayed on a P2 vs. P1N...