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Cox proportional hazard models with frailty terms were used for the statistical analysis of risk factors.
AIC indicates that the models with frailty fit the data significantly better than the models without.
In the majority of cases, the models without frailty estimated a smaller educational gradient than the models with frailty.
Cox proportional hazard models with frailty were applied to identify independent predictors of hospital mortality and to calculate hazard ratios (HR).
The addition of co-morbidity resulted in an AUC of 0.600 - slightly higher than the models with frailty (AUC = 0.597 absolute, 0.593 relative).
The aim of the this paper is to investigate the factors influencing the survival of the patients with GI tract cancer using parametric models with frailty.
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Second, time to specific Gag mutations were analyzed by fitting the Cox proportional hazards models with frailties, which allowed for correlation among data points contributed by each subject.
Taking into account the correlation among an individual subject's values, we fit a Cox proportional hazards models with frailties to compare time to first appearance (dominance, or completeness) for reverse mutations and escape mutations from the wild type.
Cox proportional hazards models with frailties were used to assess and compare the time until different types of amino acid substitutions, while taking into account correlations among timing data contributed by the same subject.
To evaluate differences in standardized SF-36 scores between frailty groups, we used a multiple regression model with frailty variables.
The abundances of taxonomic groups were modelled with frailty as a predictor (Additional file 4: Table S4).
Related(20)
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