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Even if the dose response relationship fits a threshold-like model, using the median arsenic level in each village as the exposure indicator might not generate accurate risk estimates because villages with similar median arsenic levels can have very different distributions of exposures.
For each threshold value h, we fit a threshold model to the data for the available cities.
Note that the selection of prioritized genes set { g1, ···, g k} here is addressed by fitting a threshold θ R in the step of disease gene prioritization.
Wang et al. extended the BayesCπ method to fit a threshold model for ordinal traits and reported very similar accuracies for the normal and threshold models for simulated traits with four or eight classes and an approximately normal distribution.
For each threshold value h, we fit a threshold model to the data for the available cities that included the term x t + = x t if x t > 0 and 0 otherwise, where x t = PM t – h, PM is the PM concentration on day t, and h is the threshold value.
The communality fits with a threshold of more than 0.4 [ 14].
This has been exploited by a "sieving" procedure that iteratively identifies matching residues in a multiple structural alignment that fit below a threshold root-mean-square-deviation (RMSD [1], [2]).
However, I fail to see how the LS curve in Figure 1B can be fit with a threshold concentration different from zero. Figure 2A seems a bit better, but I doubt that a straight line fit would indicate a threshold with any statistical significance.
The empirical mixture data for both the SLT and SQT exposure protocols were fit to a threshold dose response curve and compared with the theoretical outcome predicted by the additivity model using the SCR method of analysis [modeling procedures described by Casey et al. (2004)].
Variant detection was performed with the CASAVA software (version 1.6, Illumina) and filtered to fit a CASAVA quality threshold ≥10 and depth of ≥8× CASAVA filters duplicate reads and reads without matched pairs.
They best fit a nonlinear or threshold carcinogenic risk model for arsenic with an inflection point at 150 μg/L (Taiwan) with the presence of at least one additional confounding risk factor.
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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