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The association of headache and monthly headache frequencies with PSG subgroups was assessed using multivariate logistic and ordered logistic regression analysis.
By using multivariate logistic and stepwise regression analysis, the 9-SNP panel was examined in combination with the pre-stipulated clinical variables above.
Using multivariate logistic and stepwise regression analysis from run 1, the SNPs were examined along with relevant non-genetic factors which identified age and family history of lung cancer as significant contributors to lung cancer susceptibility.
Odds ratios (ORs) and 95% confidence intervals (CIs) were computed using multivariate logistic and spline regression models.
Determinants of MDR as compared with non-MDR microbial aetiology and impact of MDR versus non-MDR aetiology on mortality were investigated using multivariate logistic and competing risk regression analysis.
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We used multivariate logistic and linear regression analysis to examine the association of implementation phase with mortality and LOS after adjustment to propensity scores.
We assessed the association between gender and coronary reperfusion (using multivariate logistic regression and propensity score analysis) and between PCI and outcome (according to gender).
All case-control comparisons were adjusted for age and ethnicity, using multivariate logistic regression and the adjusted P-values and odds ratios (OR) were reported.
We examined risk factors associated with decreased renal function and albuminuria using multivariate logistic regression, and the results were expressed as odds ratios (ORs) with 95% CIs.
The odds ratios (OR) and 95% confidence intervals (CI) of developing RA depending on anti-CCP or erosive joint status were calculated using multivariate logistic regression and adjusted for age and sex.
In this study, we characterized ecological land dynamics in Shenzhen City and quantified the driving forces using multivariate logistic regression, and subsequently mapped the transition probability of ecological land.
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