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There was a very weak (linear) correlation between FA and age, but not with height (effect incorporate in model) and weight.
Two solutions may be used to tackle the problem of rare responses: first, to amass a larger corpus of responses; or second, to use a special function in SIDE that allows users to augment the model and weight particular terms (see Nehm et al. [in press] for details).
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The proposed model and weighting functions are then used to design robust controllers.
Multiple best-fit models were within the predetermined threshold criteria of ΔAICc ≤2 of the top model and weights greater than 1.5% (Additional file 4: Table S2).
The second test was a parametric correlation Pearson test between EBEs of volume from a population analysis with no covariate in the model and weights.
Adjusting for HIV risk factors in the Cox PH model and weighting by the stabilized propensity score attenuated the association and increased its precision as compared to the crude HR.
Sex was included in daily weight gain and slaughter weight models and weight at treatment in daily weight gain model.
In a regression model, height and weight were only two factors associated with the levels of systolic blood pressure.
In the regression model, height and weight were only two significant factors associated with the systolic blood pressure.
To assess the robustness of the model, height and weight were replaced with body mass index, and predicted lean body weight.
The models and weights are created in an iterative manner.
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