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The odds ratios of mortality also increased for nine of the ten definitions using an unadjusted model, and eight of ten definitions using an adjusted model.
Analyses were repeated using an unadjusted model.
Associations were examined using an unadjusted (model 1) and three further adjusted models.
The associations with FEN1, YY1 or combination of the two and clinical outcomes were assessed using an unadjusted model and after adjusting for the selected variables in the previous step.
Cox regression modelling was used to assess the association of BRCA1 expression and outcome using an unadjusted model and after adjusting for age, residual disease (microscopic vs gross), histological subtype and type of treatment (IP vs IV).
Univariate Cox proportionate hazards modelling was performed using an unadjusted model for each covariate, and we then constructed a multivariate model using a forward elimination method and entry criteria of p≤0.05.
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Three forced-entry Cox regression models were used: an unadjusted model, a model adjusted for age and sex (model 1), and a model adjusted for age, sex, BMI, diabetes duration, smoking, A1C, LDL cholesterol, hypertension, and current use of hypoglycemic or lipid-lowering agents (model 2).
The association between the five attribution groups and the patient interval was also analysed using an unadjusted GLM model and a GLM model adjusted for gender, age, marital status and education.
We then compared the outcomes using an unadjusted logistic regression model and a model adjusted for study level covariates.
A crude hazard ratio (HR) for the association between incident rectal STI and incident HIV was calculated using an unadjusted Cox proportional hazards (PH) model.
Data were combined and HRs for mortality were calculated for each study and across all studies combined (with study as a stratification factor) using an unadjusted Cox's proportional hazards model.
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