goldfishtornado
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Double checking, no. It looks like they switch from a 3% P(DCS) isopleth when talking about TDT to a 0.2% P(CNS DCS) isopleth when talking about NST. I'm not 100% sure on the translation between the two. But I think my claim is similar, the paper is showing those algorithms are below the isopleth for a given parameterization, not calculating raw probability values.Are you sure about that?
The Howle paper (doi: 10.1371/journal.pone.0172665) is a different one than I linked I guess? It looks like they are using a trinomal state model for DCS rather than a binomial, but they still follow the Weathersby & Thalman parameterization of assuming the probability of each of their subclasses of DCS are described by a P(DCS) = 1 - exp(-R), where R has a bunch of stuff, including the integrated r hazard, which is very close to proportional to the pressure gradient in the assumed compartments. I think my overall point is that the prevailing models in the literature assume exponential dependence of the probability of DCS on integrated exposure.