ABC {ComparisonCR} | R Documentation |
Statistical inference of area between the CIF curves (ABC) test for competing risk data.
ABC(time, status, group, t0=0, tau=NULL)
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 Aalenâ€™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.
#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)