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Association between categorical variables and FBG or HbA1c were performed using logistic regression models and odds ratios (ORs) at 95% confidence intervals (95% CI) were recorded.
Each polymorphism was modeled individually as gene-dosage effects in the regression models, and odds ratios (OR) and 95% confidence intervals were estimated.
† Betas derived from ordinary least squares regression models, and odds ratios from multiple logistic regression models.
All variables were entered into the multivariable logistic regression models and odds ratios with 95%% confidence intervals were computed.
The association between genotypes/haplotypes and MBPC was examined with logistic regression using genetic modeling (co-dominant, dominant, and log-additive models), and odds ratios with 95% confidence intervals were calculated, adjusting for age and stratifying by BRCA1 mutation.
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Adjusting variables were included in the regression modelling and odds ratio calculations, as specified in the data tables.
Hazard ratios for the Cox model and odds ratios for the logistic model were calculated with their 95% confidence intervals (CIs).
The risk of ECE, related to the preoperative variables analyzed, was evaluated using the logistic regression model, and odds ratios and risk ratios were calculated.
All variables with statistical significance at the univariate analysis were included in the final model, and odds ratios (OR) and corresponding 95% confidence interval (95% CI) were computed.
Significant univariable variables in each period were entered into a multivariable logistic regression model and odds ratios with 95% confidence intervals (CI) were calculated.
Logistic regression model and odds ratio were used to assess variability of Kdr frequency between LLINs and non-insecticidal nets and to check if more resistant mosquitoes enter LLINs compared to the non-insecticidal nets.
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