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We next used a Cox regression model that assessed effect of SML on survival in the presence of known prognostic/predictive factors including PR status, HER2 enrichment, tumor stage, and lymph node involvement.
A computer model that assessed such factors as drought, lightning strikes and fuel loads had concluded that there was at least a 10percentt chance that the fires could force large-scale evacuations.
We compared yields of the four treatment classes (2 varieties × 2 treatments) in a two factor linear mixed effects model that assessed the presence of variety x treatment interactions.
The final model that assessed the primary covariates controlled for diagnosis case-mix, military occupation, DSM Axis V (functional impairment) and rank category.
We then constructed a logistic regression model that assessed the effect of age, system, location, and farm type on having a positive influenza result.
This was observed for both the model that analyzed change in severity of retinopathy and the model that assessed final severity of retinopathy after adjusting for the baseline severity of retinopathy (data not shown).
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To develop a simple, high-throughput and widely applicable in vitro human implantation model that assesses trophoblast spheroid attachment to human uterine epithelial cells.
We propose an Energy Landscape Integrated Analysis model that assesses both the complexity of internal energy loops, and the information held in the whole network of socio-metabolic energy fluxes, so as to correlate this energy-information interplay with the functional landscape structure.
A dominant genetic model or carrier model that assess the effect of the presence of the risk allele, irrespective of the presence of one or two copies, was used for all analyses to avoid too few counts of some patient subgroups.
Overlap between treatment groups was explored mostly through standard tests that assess heterogeneity, although in studies where regression analysis was employed, balance between groups was sometimes investigated using models that assessed whether significant interactions were present between treatment and covariates.
Once the human judgments had been determined and the similar and non-similar molecular-pairs identified, it was possible to develop logistic regression models that assessed how fingerprint-based similarities were correlated with the probability of being considered similar by the majority of the experts.
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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