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Cox Proportional Hazards were computed in R using the Survival package with stratification of samples by residual tumor status.
Survival data were computed by using the survival package in R software.
Analyses were done using the survival package (version 2.30), in the R software (version 2.9.1).
For each tested group, the lifetimes of each states were calculated using the survival package of R software and showed that the probability of switching activities was constant per unit time (i.e. a Markovian process, goodness of fit test: all P<0.05 with sample size ranging from 10 to 398 occurrences).
Survival analysis was performed in R using the survival package.
The survival time analysis was performed using the survival package.
Similar(14)
All analyses were implemented in the R statistical computing environment, version 2.11.1 [41], and survival analyses used the survival package [42].
We used the Survival package in R to perform univariate survival analyses Kaplan-Meier Analysess). Kaplan-Meier Analyses
We used the survival package in R (with samples grouped by median expression) to generate Kaplan Meier (KM) plots for the 19 FFPET arrays to test the relationship between microarray gene expression and survival.
Statistical analysis was conducted using the survival analysis package PROC LIFETEST in the software SAS 9.3 (SAS, Cary, NC, USA).
All analyses were conducted with the open source software R 2.15.0 11 using the survival analysis package timereg.
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