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The results indicate that, not only does the enhanced p-envy model reduce inequity but we also find that more lives can be saved by using the survival function objective.
Survival data were computed by using the survival package in R software.
Survival analyses were carried out by using the survival package in R [ 30].
The association between admission to an ETU and survival was evaluated with a Cox proportional-hazards model by using the survival package in R v.3.1.1 (11 ).
Next, a Kaplan-Meier survival analysis is performed on the Desmedt dataset by using the "survival" package of the R-project (R Development Core Team, 2008).
Univariate and multivariate regression analyses of overall survival (OS) and distant metastasis-free survival (DMFS) were performed in R [ 18] by using the Survival package.
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Long-term survival studies may be analysed using either the traditional approach (cohort survival) (Cox, 1972), or a relatively recent alternative method (period survival, not presented here) that corrects for recent survival experiences by using the expected survival of a reference population, based on common characteristics (age, gender, area etc) (Brenner et al, 2004).
Survival status was investigated by using the Kaplan Meier survival curve and log-rank test.
Survival time was calculated by using the Kaplan Meier survival function.
All analyses were done with R by using the limma, survival, and cluster packages.
Further investigation was performed by using the Kaplan Meier survival curve and log-rank test to evaluate the suitability of these molecules as prognostic factors.
More suggestions(15)
by using the life
by using the existence
by using the form
by using the language
by using the score
by permuting the survival
by using the rate
by calculating the survival
by using the index
by counting the survival
by assessing the survival
by using the profile
by using the definition
by using the service
by using the calculator
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