ABC.ts: The two-stage 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 two-stage test. Stage I is the Li's test, and stage II is area between the CIF curves(ABC) test.

Usage

ABC.ts(time, status, group, nboot=1000, alpha=0.05, 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.
alpha	The overall significance level, with default as alpha=0.05.
seed	The seed number, with default seed=12345.

Value

method	Three test results are involved, the Li's test, ABC test, and the two-stage test.
statistic	The statistic of the Li's test, ABC test, and the two-stage test.
Pvalue	The P value of the Li's test, ABC test, and the two-stage 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
#two-stage test
ABC.ts(crossdata$time, crossdata$status, crossdata$group, alpha=0.05, nboot=10)

Example output

The bootstrap resampling times =10


     method      Pvalue
1        Li 0.682765930
2       ABC 0.008751208
3 Two-stage 0.025320566

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