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At the first stage, GWAS identified two significant SNP sets that were located in gene regions by using conditional logistic regressions in conjunction with a p-value combination test.
Data were analyzed by using conditional logistic regression.
Risk factors were examined by using conditional logistic regression.
Matched univariate analysis was performed by using conditional logistic regression.
a P values (two-sided) were calculated by using conditional logistic regression with a Wald test.
By using conditional logistic regression models, independent predictors of colonization were established.
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After coding the data was entered using Excel, data cleanup and cross-checking was done and it was analyzed by using STATA version 10 by principal investigator using conditional logistic regression (clogit) model for matched case control analysis.
We compared vaccination status and the distribution of underlying conditions between cases and controls by age group using conditional logistic analyses and estimated crude odds ratio and 95% confidence interval whenever possible.
In each analysis, we estimated odds ratios (OR) for PMS by 25OHD level using conditional logistic regression, and calculated 95% confidence intervals (CI).
16 The impact of abuse by an intimate partner on postnatal depression (measured by EPDS) was examined using conditional logistic regression with adjustment for demographics, socio-economic status, history of chronic diseases and in-law conflict.
We performed univariate analysis for the relationship between risk factors and infection by ESBL-producing EK using conditional logistic regression.
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by using bivariate logistic
by using conditional univariate
by performing conditional logistic
by using weighted logistic
by using conditional random
by using conditional adjacent-category
by using exact logistic
by using conditional genetic
by using multivariable logistic
by running conditional logistic
by fitting conditional logistic
by using standard logistic
by using univariate logistic
by using binary logistic
by using multiple logistic
by using multivariate logistic
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