# 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

 `1` ```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

 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.

 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

 ```1 2 3 4 5``` ```#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.