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We used Cox proportional hazard regression to estimate hazards ratios (HRs) of AF/flutter adjusting for important confounding factors.
Proportional hazards models (Cox regression) were used to estimate hazards ratio (HR) and 95% confidence intervals (95% CI) for overall EC risk in relation to dietary intake of acrylamide.
Thus, to estimate hazards with a varying exposure period, we used an extended Cox model with time-dependent covariates, which requires no proportional hazards, because the hazards depended on time, which in this case refers to study subjects' age.
Multivariate analysis was conducted with a backward application of Cox proportional hazards regression analysis was used to estimate hazards ratio (HR) and 95% confidence intervals (95% CI) for overall survival and metastasis-free survival.
Cox proportional hazard model was used in SPSS 20.0 to estimate hazards ratios (HRs) and 95%% confidence intervals (CIs) of NPC mortality for tobacco use adjusting for age, sex, education level, drinking status, occupation and cohort status.
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We used Cox proportional hazards models to estimate hazard ratios (HRs) with 95% confidence intervals (CI) for overall survival (OS).
To estimate hazard at the NPP site, ten Ground-Motion Prediction Equations (GMPEs) valid for the study area are considered.
Cox regression methods were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) adjusted for confounders.
Data from CVD risk study on 5000 people was used to estimate hazard ratio for death.
We utilised Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) representing the associations of inactivity with mortality censored at 5 years.
For this purpose we obtained data from the U.S. Social Security Administration Death Master File to estimate hazard rates for 15 single-year extinct birth cohorts born in 1881-1895.
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