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Odds ratios (OR) were transferred to relative risks (RR) according to the method of Zhang et al. [ 34] with the formula: RR = OR/[(1 − P0) + (P0 × OR)], where P0 is the incidence of the outcome in the nonexposed group (reference category), and OR the odds ratio given by the multiple analysis.
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Results obtained by the multiple correspondence analysis (MCA) are consistent with results from the logistic regression analysis.
A second-order polynomial model was determined by the multiple regression analysis of the experimental data.
A second-order polynomial was determined by the multiple regression analysis of the experimental data.
In [12, 24, 28, 29], the relation between the HRTFs and physical sizes of the head and ear was investigated by the multiple regression analysis and optimized by the least squares method.
This result was confirmed by the multiple SNP analysis stratified by smoking.
The importance of this inclusion will be automatically evaluated by the multiple regression analysis.
Additionally, each non-significant factor was added one by one to the model found by the multiple backward analysis to check whether they contributed significantly to the model.
It highlighted that the symptoms of DES deviated from signs, and DES symptoms rather than signs had an overwhelming impact on VFQ scores, just as shown by the multiple regression analysis.
However, only systolic blood pressure (OR = 1.81, 95% CI = 1.19-2.93; p = 0.009) and HDL-C level (OR = 0.46, 95% CI = 0.26-0.85; p = 0.006) were confirmed to be significantly associated with IHD risk by the multiple regression analysis.
This suggestion is supported by the multiple regression analysis results (Tables 4, 5, 6 and 7), confirming that higher levels of Hg and Pb, together with lower levels of GST and vitamin E, can be used to predict cognitive and social impairment with the regression of both antioxidant parameters, which is more related to abnormalities of both.
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