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In the set of the models, the age of specimen, cement, water, sand, aggregate, superplasticizers, fly ash and CaO are entered as input parameters, while the compressive strength values of concrete containing fly ash are used as output parameter.
Unlike previous models, the age of diagnosis was younger at 36 years rather than 43.
For the adjusted SOFA and reference models the age and GCS were tested as binominal, categorical and continuous variables.
Using Cox proportional hazards models, the age at initial screening was identified as a significant predictor for risk of autoantibody seroconversion for all autoantibodies (ICA, P = 0.01; ICA512, P = 0.004; GAD65, P < 0.0001).
Patients with CAP lesions without endodontic treatment had a greater aortic atherosclerotic burden than patients with CAP lesions with endodontic treatment.> In all logistic regression models, the age of the patients was the factor with by far the greatest positive effect on the aortic atherosclerotic burden.
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By combining this information with theoretical models, the ages of the stars throughout the two clusters could be estimated.
When added to the models, the age-by-Aβ interaction term was not significant in either case.
In the big bang model the age is proportional to the reciprocal of Hubble's constant, hence the importance of determining H as reliably as possible.
We also conducted an analysis modelling the age as an ordinal variable.
Our empirical approach is to fit a polynomial to model the age trends when restrictions are in place.
Figure 7 suggests that it may be possible to model the Age and BMI effects using parametric functions.
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