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We performed both quartile and linear Cox regression analyses, and the primary analysis was conducted using linear regression.
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In contrast, both the quartile and linear analyses showed no significant trends toward a decreased incidence rate of CHD (Table 3).
When area-level demographic variables were added, SEP-TB clustering odds ratios decreased in the lowest SEP quartile and the significant linear trend showing increasing with decreasing SEP disappeared (P = 0.244).
We estimated adjusted mean differences in blood pressure levels or adjusted odds ratios (ORs) for the prevalence of hypertension comparing quartiles 2 to 4 of cadmium to the lowest quartile using linear and logistic regression, respectively.
We also tested for a linear trend in log RRs in categorical analyses by assigning the midpoint to each quartile and conducting a weighted linear regression of the log RRs on these midpoints.
A quartile division of linear and non linear scores was performed in order to identify 4 classes of predicted EWL for both models, on the basis of the values of age and selected psychological variables (Fig. 4 5).
Mean intakes of these food groups varied across the quartiles of dietary pattern score and linear trends were significant (P < 0.0001).
We assessed the significance of the effects of aspirin exposure, gender, and quartile on metabolite level using linear modeling and linear mixed modeling in GenStat 14th edition (VSN International, Hemel Hempstead, UK).
Figure 2 Kaplan-Meier survival curves by quartile of linear predictor from reduced multivariate Cox model.
The significance of linear trends across quartiles was tested by assigning each participant the median value for the quartile and modelling this value as a value of a continuous variable.
We tested for linear trend tests across quartiles of α-tocopherol, β-carotene, and retinol by designating each participant the median level for each quartile and entering that term as a continuous variable in the regression model.
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