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One possible method was to include all individual soil metal IGZ geometric means in the model.
Post hoc individual pairwise comparisons of least squares means in the model were made using Tukey's comparisons; comparisons were considered significant at p < 0.05.
When specifying parallel lines for the population means in the model, the rituximab mean line followed after the placebo line by 8.2 months (95% CI 0.827 15.6).
Opioid use was not found to be a significant predictor, nor were the estimated marginal means for psychopathology group altered by > 10% compared with the means in the model with psychopathology group as the only predictor.
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Assuming that 2014's performance will be somewhat close to that of prior years, the mean in the model for 2014 is set to the equivalent of 4 percentage points and the standard deviation to the equivalent of 3 percentage points.
For all CLR models, uniform priors were assigned to the highest level mean in the model (global or region), and all lower level deviations were treated as independent normal random variables.
FSD provides a simple measure of the difference in face shape between a patient and their matched control mean in the model.
The bias of the predicted total breeding values of juvenile animals was also evaluated, by plotting the difference between simulated and predicted total breeding values for the juvenile animals minus the estimated phenotypic mean in the model, against the true breeding values corrected for the true mean.
Box 1 Derivation of probability test for asthma The predicted probability (P) of asthma for each individual patient can be calculated from the equation: in which for the pneumologist model, where β0 is the estimated coefficient of the grand mean in the model and β1, β2 and β3 are the regression coefficients of the variables in the model.
The total EBV were biased upwards for all methods when the heritability was 0.10 and 0.30, due to the shift of the estimated mean in the model, which was caused by genetic trend due to selection and the change in allele frequency of the QTL.
The confounding effect of potential confounders, that is, age, sex, body mass index (BMI), smoking, self-reported diabetes and self-reported antihypertensive medication, in the combined sample was calculated by the formula (mean ACRcrude−mean ACRadj)/mean ACRcrude, where mean ACRcrude was the mean ACR in the crude model and mean ACRadj the mean ACR in the model adjusted for the relevant variable.
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