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We conducted a meta-analysis based on hazard ratios of overall survival and found conflicting results in 3 controlled trials.
This value was based on hazard ratios reported in comparable studies in primary care.
Variables independently associated with survival were identified with a Cox regression model based on hazard ratios with 95% confidence interval (95% CI).
Traditional (network) meta-analyses for survival outcomes are based on hazard ratios (HR) and rely on the proportional hazards assumption, which is implausible if the hazard functions of competing interventions cross.
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Note that the interpretation of the estimated coefficients in this model is based on hazard ratio rather than the covariate effect on the mean.
We conducted a meta-analysis for overall survival of the 3 controlled trials based on hazard ratio and visualized the contradicting results in a forest plot (Figure 2).
Gene sets were separated into two groups based on hazard ratio (hr) in the van de Vijver dataset, with gene sets with a hr ≥ 1.00 constituting a "negative" set and gene sets with a hr < 1.00 constituting a "positive" set.
The 120 gene sets first had to be separated based on hazard ratio from the van de Vijver et al dataset into a deleterious group (hr > 1) and a protective group (hr < 1) to eliminate noise that would occur if the two groups were examined together.
The pattern of sex differences was less pronounced for first manifestations of cerebrovascular disease based on the hazard ratios compared with lifetime risks, while the sex difference in hazards for heart failure even reversed in the adjusted models.
Based on those hazard ratios, previous hospital admissions was a strong risk factor.
By formulating this problem in terms of missing data we obtained adjusted mortality estimates, based on assumed hazard ratios for excess mortality in patients lost to follow-up.
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