2002
DOI: 10.1198/tech.2002.s656
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Modeling Survival Data: Extending the Cox Model

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Cited by 133 publications
(106 citation statements)
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“…Population structure was estimated by using PCA, and the first five principal components were included in the regression analyses. The Cox model estimated hazard ratio (HR) and 95% confidence interval (CI) for individual sample and meta‐analysis between samples was performed under fixed‐effect model using R package survival (version 2.44‐1.1) [ 46 ] and Metafor (version 2.0‐0). [ 47 ] Bonferroni correction was used to adjust for multiple comparisons.…”
Section: Methodsmentioning
confidence: 99%
“…Population structure was estimated by using PCA, and the first five principal components were included in the regression analyses. The Cox model estimated hazard ratio (HR) and 95% confidence interval (CI) for individual sample and meta‐analysis between samples was performed under fixed‐effect model using R package survival (version 2.44‐1.1) [ 46 ] and Metafor (version 2.0‐0). [ 47 ] Bonferroni correction was used to adjust for multiple comparisons.…”
Section: Methodsmentioning
confidence: 99%
“…For hierarchical clustering, Ward's method was used to compute the distances. A Kaplan-Meier survival estimation was created using a Cox model implemented in the CRAN package survival [23]. MYCN status prediction was performed using the partial least-square classifier with a 10-fold cross-validation implemented in the R package caret [24].…”
Section: Methodsmentioning
confidence: 99%
“…Comparisons of survival were carried out using Revolution R Open (version 8.0.2) with a checkpoint date of April 20th 2015 and the “survival” package(24). The threshold for statistical significance was set at 0.05.…”
Section: Methodsmentioning
confidence: 99%