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Factors associated with CKD occurrence were evaluated by competing risk survival analysis (Fine Gray and Cox cause specific models providing sub-hazard ratio (sHR) and Cox sub-hazard (CSH)).
Cumulative incidences were also calculated using competing risk survival analyses.
The distributions of time to these outcomes were estimated using competing risk survival analysis.
When less than 20 hips remained at risk, survival probabilities were not calculated.
We examined associations with risk, survival and prediagnostic baseline plasma PSA levels, alone and in combination with AR CAG repeats.
In addition, EVs may offer a non-invasive means to assess cancer initiation, progression, risk, survival, and treatment outcomes.
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We performed a Cox proportional risks survival analysis.
However, in the validation sets the low-risk and high-risk survival groups were not equally balanced (two thirds versus one third).
A high and a low-risk survival groups were defined based on a multivariate model of the expression level of the genes contained in each set of top ranking genes and the Cox regression coefficient for each gene.
Attributable mortality of VAC was estimated by multivariable competing-risk survival analysis.
The attributable mortality of VAC, IVAC and VAE VAP was assessed by competing-risk survival analysis.
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