Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis

Three new methods to perform outlier detection in a survival context. In total there are six methods provided, the first three methods are traditional residual-based outlier detection methods, the second three are the concordance-based. Package developed during the work on the two following publications: Pinto J., Carvalho A. and Vinga S. (2015) ; Pinto J.D., Carvalho A.M., Vinga S. (2015) .


Reference manual

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install.packages("survBootOutliers")

1.0 by Joao Pinto, 8 years ago


https://github.com/jonydog/survBootOutliers


Browse source code at https://github.com/cran/survBootOutliers


Authors: Joao Pinto <[email protected]> , Andre Verissimo <[email protected]> , Alexandra Carvalho <[email protected]> , Susana Vinga <[email protected]>


Documentation:   PDF Manual  


GPL-2 license


Imports methods, utils

Depends on survival, stats

Suggests BiocParallel


See at CRAN