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> When considering allelic dropout, the presented RMNE calculation is conceptually simpler than the LR calculation: instead of estimating the probability of dropout, the RMNE calculation makes the simpler assumption that a given number of alleles may have dropped out and then accepts any profile in the population that matches that constraint as 'not excluded'.
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A successive approximation (SA) approach is developed to address the nonlinearity by iterative calculation, making the problem tractable.
Although the famous spreadsheet error (wherein RR failed to include cells in a calculation) made the biggest splash, the deeper error was a logical fallacy: Post hoc ergo propter hoc.
Our original calculation made the former assumption, whereas the correctional approach of the commenters makes the latter.
Weitzman argues — and I agree — that this risk of catastrophe, rather than the details of cost-benefit calculations, makes the most powerful case for strong climate policy.
To add to that, changes to calculations make the situation appear even bleaker.
Second, our calculations make the assumption that incidence is uniform geographically throughout Mexico and across age group.
When the 2005 database was completed, that year was also included in the calculations, making the third period 5 years.
It should be reiterated that these calculations make the assumption that the only differences between the groups are in the pass mark for PLAB (see discussion).
The calculation makes use of the IRI electron density profile up to 1000 km.
Fortunately, a simple mathematical formula that we call the "opportunity calculation" makes it possible to discover the most promising areas.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com