# multi_logrank_test

0th

Percentile

##### Calculate multiple Log-Rank-Tests very fast

Calculate multiple Log-Rank-Tests very fast

##### Usage
multi_logrank_test(groupas, groupbs, groupacensoreds, groupbcensoreds,
threadnumber = NULL)
##### Arguments
groupas

list of vectors of groupa's survival times

groupbs

list of vectors of groupb's survival times

groupacensoreds

list of vectors of censored information of groupa's survival times

groupbcensoreds

list of vectors of censored information of groupb's survival times

(optional) set the number of threads used for this function

##### Value

vector of p-values (same order as input)

##### Aliases
• multi_logrank_test
##### Examples
# NOT RUN {
T1 <- c(6, 6, 6, 6, 7, 9, 10, 10, 11, 13, 16, 17, 19, 20, 22, 23, 25, 32, 32, 34, 35)
E1 <- c(1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0)
T2 <- c(1, 1, 2, 2, 3, 4, 4, 5, 5, 8, 8, 8, 8, 11, 11, 12, 12, 15, 17, 22, 23)
E2 <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)
t1s<-list(T1, T1, T1)
e1s<-list(E1, E1, E1)
t2s<-list(T2, T2, T2)
e2s<-list(E2, E2, E2)
multi_logrank_test(t1s,t2s,e1s,e2s)
#4.168809e-05 4.168809e-05 4.168809e-05
# }

Documentation reproduced from package fastlogranktest, version 0.1.0, License: GPL-3

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