ABC.comb: The combined test of the Li's test and area between the CIF...

In ComparisonCR: Comparison of Cumulative Incidence Between Two Groups Under Competing Risks

Description

Statistical inference of combined test with combination of the Li's test and area between the CIF curves(ABC) test.

Usage

ABC.comb(time, status, group, nboot=1000, seed=12345)

Arguments

time	The followed up time for testing data.
status	The status indicator, should be coded as 0= censored, 1= event of interest, 2= all other competing events.
group	The group indicator for comparison, and the elements of this vector should take either 0 or 1. Normally, 0= control group, 1= treatment group.
nboot	The times of bootstrap resamplings, with default as nboot=1000.
seed	The seed number, with default seed=12345.

Value

method	Three test results are involved, the Li's test, ABC test, and their combined test.
statistic	The statistic of the Li's test, ABC test, and combined test.
Pvalue	The P value of the Li's test, ABC test, and combined test.

References

[1] Li JN, Rademacher JL, Zhang MJ. Weighted comparison of two cumulative incidence functions with R-CIFsmry package. Computer Methods and Programs in Biomedicine, 2014, 116(3): 205-214.

[2] Lyu J, Chen J, Hou Y, Chen Z. Comparison of two treatments in the presence of competing risks. Pharmaceutical Statistics, 2020. DOI: 10.1002/pst.2028.

Examples

#get dataset from package
data(crossdata)
#just for an example, we set resampling times at 10
#combined test
ABC.comb(crossdata$time, crossdata$status, crossdata$group, nboot=10)

Example output

The bootstrap resampling times =10


    method  statistic      Pvalue
1       Li -0.4086917 0.682765930
2      ABC  2.6216234 0.008751208
3 Combined  2.6216234 0.100000000

ComparisonCR documentation built on July 1, 2020, 8:12 p.m.