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Based on hypothetical data, the tapered model gave lower faecal bacteria removal than the conventional (rectangular) model for various values of dispersion number, die-off rate coefficient, average width and shape factors.
Furthermore, the repeated measures animal model gave lower sampling errors for all traits, with an average improved accuracy of 33%%.
However, in general the repeated measures animal model gave lower rAs (18 of 21 trait combinations; repeated measures animal model: mean rA = 0.26±0.22 SD; parent-offspring model: mean rA = 0.37±0.22 SD; ZW = 3.39, N = 21, P<0.001), but none of these differences were significant.
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Model selection between the two models gives wrong results when P E T > P E S, meaning that the simplified model gives lower prediction error than the true model structure.
In contrast, over 50% of HTA reports without model gave a lower level of information in the economic assessments than in the medical assessment.
The results showed that the RRP model gave a lower excess reactivity than that of the uniform model, and the more number of fuel columns loading into the core, the greater the difference in excess reactivity between the RRP and uniform models.
The fully adjusted model gave slightly lower mean odds ratios for FVC and MMEF compared with the basic model.
The integrated model gave a lower false negative rate than any single component for both training and testing sets.
The two-carrier model gave a lower variance than the single-carrier model for the non-induced algal cells, but the V max2 and K m2 values were too high to make the model reasonable.
The median disease prevalence estimated from the extended TGLMM is slightly lower than the estimate from Model 1. Model 2 gives significantly lower specificity estimate and Model 3 gives lower sensitivity estimate.
The embedded MARS condensation model and Uchida's correlation gave lower heat transfer coefficients than Dehbi's correlation, and heat structures removed more decay heat than PCCS tubes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com