The survival and survminer R packages (The R Foundation for Statistical Computing, Vienna, Austria) were used to analyze the prognosis of 445 and 579 patients in TCGA and GEO databases, respectively. Patients in TCGA database were followed up for 12 years, while those in the GEO database were followed up for 16 years. The Kaplan–Meier method was used to plot the survival curves, and the log-rank test was used to evaluate the statistical significance between them, with p-values <0.05 considered statistically significant.
Survminer r packages
Manufactured by R Project for Statistical Computing
The Survminer R package provides a collection of functions for the visualization and interpretation of survival analysis. It offers a wide range of visualizations, including survival curves, forest plots, and risk tables, to help users better understand and communicate their survival analysis results.
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Lab products found in correlation
2 protocols using survminer r packages
1
Survival Analysis of Cancer Patients
2
Survival Analysis of Cancer Patients
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The survival and survminer R packages (The R Foundation for Statistical Computing, Vienna, Austria) were used to analyze the prognosis of 445 and 579 patients in TCGA and GEO databases, respectively.
Patients in TCGA database were followed up for 12 years, while those in the GEO database were followed up for 16 years. The Kaplan-Meier method was used to plot the survival curves, and the log-rank test was used to evaluate the statistical signi cance between them, with p-values of < 0.05 considered statistically signi cant.
Patients in TCGA database were followed up for 12 years, while those in the GEO database were followed up for 16 years. The Kaplan-Meier method was used to plot the survival curves, and the log-rank test was used to evaluate the statistical signi cance between them, with p-values of < 0.05 considered statistically signi cant.
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