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Using cox proportional hazard modeling, hazard ratios were estimated with their corresponding 95% confidence interval.
A Cox proportional hazards model was used for modeling hazard of patient dropout with baseline cognitive impairment, progression rates, and patient-level factors as covariates.
By modeling hazard over time while allowing for study specific variation in both hazard function parameters, we could retain randomized comparisons between the control and intervention groups.
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The standard Cox-PH model has become the most frequently used method for modeling hazards and covariates.
We used Cox proportional hazards modeling to calculate hazard ratios (HRs) (95% CI).
We used Cox proportional hazards regression models (hazard ratios) with age as the time scale.
From the Cox model, hazard ratio (HR) and 95% CIs were generated.
In all models, hazard ratios (HR) were calculated with 95% confidence intervals (95% CI).
*Statistically significant in the Cox regression multivariate model (hazard ratio 1.026, 95% confidence interval 1.005 to 1.047, P = 0.014).
In the full ethnicity model, hazard ratios for specific ethnic groups ranged from 1.11 to 3.02 compared to white ethnicity.
We used Cox proportional hazards modelling to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).
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