ComparisonCR (version 1.0.4)

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

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

# NOT RUN {
#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)
# }