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Gender differences in SES and key health characteristics were assessed as follows: education, IMD (ordinal logistic regression); NS-SEC (multinomial logistic regression); disease count, BMI (t-test); and disability (Tobit regression to account for the floor effects (Austin, Escobar, & Kopec, 2000)).
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In stepwise multiple regression analysis, disease variables (HAQ, disease activity, pain) together with age and mood explained a significant part of fatigue.
These results may be helpful in the regression of disease or in shortening the duration of disease.
The use of antifungal agents together with both Zn and Se drugs could be helpful in the both regression of disease and in shortening the duration of disease.
This discrepancy represents an inherent inaccuracy of the diagnostic testing modality and should not be interpreted as progression or regression of disease.
It did not predict regression of disease.
Predictors of infection were examined by Cox regression and disease risk by binomial regression.
One patient had regression of disease following chemotherapy (degree of response not evaluated) prior to enrolment onto the trial.
Univariate analysis was done using logistic regression with disease status as outcome and with random effect on milk cooperatives.
In multiple regression analyses disease duration, CRP and DXR-BMD were independent variables associated with Larsen score (R= 0.64).
The model uses continuous mathematical functions to estimate the instantaneous rates of progression and regression of disease.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com