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The correlation lengths remain at about 0.05° for both the cases of the original and the adjusted Model 4 signal degree variances.
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a The original Tscherning and Rapp covariance model b The adjusted model, up to ( overline{l}+b=infty ) and 3600.
PVE = (V 0 - V 1)/(V 0) × 100, where V0 = second-level variance of the null model, and V1 = second-level variance of the adjusted model.
This might explain some of the differences between the results from the unadjusted and the adjusted models.
The initial models adjusted for the effect of demographics (age and sex) and education level, and the fully adjusted model also controlled for clinical oral health (number of teeth).
Because there was little difference between the parsimonious model and the fully adjusted model, we present only the full model for the results stratified by sex.
In each case, we selected the most expansive measure of NSAID use and the maximally adjusted model that did not include adjustment for reflux symptoms (where possible).
In Cox regression models, the base model was adjusted for age and the fully adjusted model for smoking, alcohol intake, physical activity and prevalent cardiovascular disease, metabolic disorders and cancer.
We then added demographics and hormone-related variables including reproductive history and the fully adjusted model included behaviour-related covariates.
The comparison between the age and sex adjusted model, the age, sex, and smoking adjusted model, and the different multivariable-adjusted model suggested that the estimates were stable.
In particular, in both the more simple and the fully adjusted models, the odds of elevated γ-GT more clearly increased across rising smoking intensities in the normal and overweight category.
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