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We assessed the calibration of the predictions based on the Framingham risk score, the Reynolds risk score, and the optimal fit model.
This might have contributed to the fact that neither lipids nor high sensitivity C reactive protein were selected in the final optimal fit model.
As expected, the optimal fit model performed a little better because discrimination was tested in the same cohort from which it was developed.
Notably, the net benefits of prediction based treatment based on the optimal fit model and the Framingham or Reynolds risk score were similar.
Similar calculations were carried out for a range of values for NWT and also for prediction based treatment using the Reynolds risk score and optimal fit model.
The final optimal fit model contains terms for age, sex, age-sex interaction, smoking, blood pressure lowering drugs, and family history of premature myocardial infarction.
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This paper is concerned with the generation of optimal fit models for use in apparel design.
Following our mapping of stakeholders, analysis of the key-informant interviews and assessment of each actor's perspectives on the problem and solutions and their relative power and influence, we placed the stakeholders on an 'optimal fit model' which determined how much and what kind of attention should be paid to stakeholders (Blair et al. 1996, adapted by Varvasovsky and Brugha 2000).
The optimal fit of model 3 estimated a relative risk of 1.112 955% confidence interval of 1.050, 1.176) associated with heat wave days (95% confidence interval of 1.050, 1.176).
A set of local troposphere fitting coefficients are then derived using a proposed optimal fitting model.
This pattern agrees quite well with the frequencies that optimal fit our models to the observed distributions, which are f(T) = 0.243, f(A) = 0.312, f(C) = 0.189, f(G) = 0.257 if the nucleotide frequencies are the only free parameters and detailed balance is assumed, and f(T) = 0.193, f(A) = 0.316, f(C) = 0.210, f(G) = 0.281 if the mutation rate is enhanced at CpG dinucleotides.
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