Description Usage Arguments Details Value Author(s) References See Also Examples

A function to calculate the distance for a survivial endpoint.

1 | ```
surv.dist(stime.evnt)
``` |

`stime.evnt` |
A data frame with time in first column and censor in second column. |

This function calculates the distance matrix for a censored event-time variable. The calculation is based on the formula in Section 2.4 of Cao and Pounds (2021). The distance metric for censored event-time data is based on the rank-based association statistic for this type of data proposed by Jung et al (2005).

A square matrix with nrow and ncol equal to the nrow of stime.evnt. Entry (i,j) of the result matrix gives the survival distance between subjects represented in rows i and j of stime.evnt.

Xueyuan Cao xcao12@uthsc.edu and Stanley Pounds stanley.pounds@stjude.org

Cao X and Pounds S (2021) Gene-Set Distance Associations (GSDA): A Powerful Tool for Gene-Set Association Analysis.

Jung SH, Owzar K, and George SL (2005) A mutiple testing procedure to associate gene expression levels with survival. Statistics in Medicine 24: 3077-88.

1 2 | ```
data(target.aml.clin)
srv.dist=surv.dist(target.aml.clin[,c("efs.time","efs.evnt")])
``` |

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