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. The performance of the model was assessed with its discrimination, calibration, and clinical usefulness. A total

). Logistic regression was used to detect the association of SNPs and haplotypes of linked loci in different

tested using logistic regression analysis under additive genetic model adjusted for sex. Meta

were investigated using univariable and multivariable logistic regression models. Results: Depressed

). Logistic regression was used to detect the association of SNPs in different models. Linear regression

, Russia). Logistic regression was used to detect the association of SNPs in different models. Linear

-adjusted odds ratio between 1.2 and 5.2. In logistic regression model (R2=0.361), the strongest associated

-time polymerase chain reaction. Logistic regression was used to detect the association of SNPs with SSS

was performed using two-tailed Fisher’s exact test, odds ratio, 95% confidence interval and logistic regression

logistic regression with age and body mass index as covariates under additive genetic model implemented

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