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Several sensitivity analyses with different mix of covariates were conducted and the best fitting models with the highest R-square values were presented in this study.
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The best fitting model with two QTL was tested against the best model fitting only one QTL using an F-test.
The best fitting model with a χ of 1.09 yielded a good fit to the experimental data.
Full modelling analysis of all genotyped variants showed the best fitting model with rare DPYD variants, the number of functional USF-binding sites in the 5′-UTR of TYMS, and the TYMS 3′-UTR deletion (full results shown in Supplementary Materials).
A two-class model was the best fitting model with a high comorbidity and a low comorbidity class.
For ALT, ALB, BILIRB, TPROT, TGLOB, AST and ALP, the ACE model – ascribing the total phenotypic variance to additive genetic, common and unique environments – was the best fitting model with narrow-sense heritabilities ranging from 15% in the case of TPROT to 48% in the case of ALP.
A change in SCR was observed for all 4 health facilities in Same (Table 3) but was not observed for any of those in Korogwe region (Figures 4c & 4d)(Similar analysis was conducted on pilot survey data which showed the best fitting model with a single conversion rate).
The linear-exponential regression was the best fitting model with ptrend = 0.09.
Log Bayes factors (BF) are calculated by comparing the best fitting model (with 3 parameters) against all the others.
We then did stepwise backward elimination until the best fitting model with a log likelihood tending toward zero was obtained.
When the parsimonious model (the best fitting model with the fewest parameters) had been identified, confidence intervals were calculated using profile likelihood.
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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