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

This function performs a Chi-square test on the long and short subject sets to determine if their is a significant difference between the survival times in both sets. It returns the p-value.

1 | ```
logrnk(dataL, dataS)
``` |

`dataL` |
The set of subjects predicted to fall into the long-survivor set. A data frame containing at least the following columns: “PatientOrderValidation” (the number/order of the subject); “group” (the group into which the patient falls L (for long) or S(for short)); “censored” (the censorship status of the patient $1$ for uncensored and $0$ for censored). |

`dataS` |
Same as “dataL” but for the set of short survivors. |

Note that the typical arguments to be passed are the results of the “STpredict” functions “long\_survivors” and “long\_survivors”

The estimated p-value is returned

Douaa AS Mugahid

Bland JM, Altman DG. Survival probabilities (the Kaplan-Meier method). *BMJ* 2004;328;1073
http://www.bmj.com/statsbk/12.dtl

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
PatientOrderValidation_L <- c(1, 2, 3, 5, 7)
PatientOrderValidation_S <- c(4, 6, 8)
group_L <- rep("L", 5)
group_S <- rep("S", 3)
censored_L <- c(0, 0, 1, 1, 0)
censored_S <- c(0, 0, 1)
True_STs_L <- c(5, 6, 6 ,7, 8)
True_STs_S <- c(2, 3, 2)
short <- as.data.frame(cbind(PatientOrderValidation_S, group_S, censored_S, True_STs_S))
long <- as.data.frame(cbind(PatientOrderValidation_L, group_L, censored_L, True_STs_L))
names(short) <- c("PatientOrderValidation", "group", "censored", "True_STs")
names(long) <- c("PatientOrderValidation", "group", "censored", "True_STs")
logrnk(dataL=long, dataS=short)
``` |

RCASPAR documentation built on May 2, 2018, 4:03 a.m.

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