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We calculated odds ratios (ORs) and 95% confidence intervals (CIs) by using conditional univariate logistic regression that accounted for matched enrollment of case-patients and controls (22 ).
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We used conditional univariate logistic regression to calculate and compare the odds ratios of viral clearance for categorical data between the treatment arms stratified by study site and the Mantel-Haenszel method when the numbers of patients were small.
Matched univariate analysis was performed by using conditional logistic regression.
Univariate associations of individual characteristics shown in Table 1 with breast cancer risk also were evaluated by using conditional logistic regression to retain the matching.
Data were analyzed by using conditional logistic regression.
Risk factors were examined by using conditional logistic regression.
Risk factor analysis was performed using conditional logistic regression analyses, firstly by univariate, followed by multivariate analysis.
From a univariate analysis using conditional logistic regression, hospital stay (≥2 weeks) before onset of SBP, previous history of SBP and prior use of any antibiotics within 30 days were significant factors associated with infection by ESBL-EK.
We performed univariate analysis for the relationship between risk factors and infection by ESBL-producing EK using conditional logistic regression.
After univariate analysis, multivariate analysis using conditional logistic regression (for matched samples) was used to identify the markers that demonstrated odds ratios that were different from unity, using a threshold p value of 0.1.
Ji, Y., et al. Identification of critical staphylococcal genes using conditional phenotypes generated by antisense RNA.
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