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Data were analysed using conditional logistic analysis.
Using conditional logistic analysis in the STATA software, we estimated the odds ratios (OR) of developing invasive cancer associated with screening history.
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We also repeated the propensity score-matched analysis using conditional logistic regression analysis to control for all covariates included in the model.
After adjusting for sex and underlying conditions, we modelled the association between influenza vaccination and novel influenza A/H1N1 using conditional logistic regression analysis.
The migraine risk between the HCPs and comparisons was compared using conditional logistic regression analysis.
Prevalence of comorbidities within 1 year after the index date and their RRs with 95%% confidence interval (CI) were calculated using conditional logistic regression analysis.
The relative risks were estimated using conditional logistic regression analysis, with test statistic (χ2), OR, 95% CI and P values used to evaluate significance of an association.
The relative contribution of V249I and T280M genotypes to the severity and early onset of PE was estimated using conditional logistic regression analysis after accounting for the other polymorphism.
Paired comparisons were performed using conditional logistic regression analysis because propensity-matched models still have imbalance.
The outcome variable (onset of delirium) was analyzed using conditional logistic regression analysis.
The data were analysed using conditional logistic regression analysis (PROC PHREG in SAS 9.2, SAS Institute, Cary, NC).
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