Description Usage Arguments Value References Examples
Statistical inference of area between the CIF curves (ABC) test for competing risk data.
1 |
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. |
t0 |
The start time point for testing, the default is set as t0=0 for overall test. |
tau |
The truncation time point for testing, which needs to be smaller than or equal to the minimum of the largest observed time in each of the two groups. When tau=NULL, the default value is used. See details in reference. |
t0 |
The start time point for testing. |
tau |
The truncation time point for testing. |
delta |
The alsolute difference of two cumulative incidence functions. |
var(delta) |
The variance of delta based on Aalen’s method. |
statistic |
The statistic of this test. |
Pvalue |
The P value of this test. |
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.
1 2 3 4 5 6 7 8 9 | #get dataset from package
data(crossdata)
#
#overall test
ABC(crossdata$time, crossdata$status, crossdata$group)
#arbitary test for detecting difference after 2 years
ABC(crossdata$time, crossdata$status, crossdata$group, t0=2, tau=NULL)
#arbitary test for detecting difference between 2 years and 4 years
ABC(crossdata$time, crossdata$status, crossdata$group, t0=2, tau=4)
|
t0 tau delta var.delta. statistic Pvalue
1 0 4.6 0.6 0.01795187 2.621623 0.008751208
t0 tau delta var.delta. statistic Pvalue
1 2 4.6 0.256 0.007352853 1.114455 0.265084
t0 tau delta var.delta. statistic Pvalue
1 2 4 0.223 0.004108426 1.589351 0.1119812
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