fixpoint: Statistical inference methods for cumulative incidence...

In ComparisonCR: Comparison of Cumulative Incidence Between Two Groups Under Competing Risks

Description

A function used to produce the results of three type of statistical inference methods for testing cumulative incidence functions at fixed time point.

Usage

fixpoint(time, status, group, timepoint, type=1)

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.
timepoint	The fixed time point for testing.
type	Four type of statistical inference methods. "1" is related to Gaynor variance, "2" is related to Aalen variance. The default is set to type=1.

Value

method	Containing 5 transformation of statistical inference methods: line, log, cloglog, arcsin-square, and logist. See more details in references.
est0	The estimation of survival rates at the fixed timepoint for control group.
var0	The estimation of variances at the fixed timepoint for control group.
est1	The estimation of survival rates at the fixed timepoint for treatment group.
var1	The estimation of variances at the fixed timepoint for treatment group.
statistic	The statistics of corresponding methods.
Pvalue	The test P value of corresponding methods.

References

Chen J, Hou Y, Chen Z. Statistical inference methods for cumulative incidence function curves at a fixed point in time. Communications in Statistics - Simulation and Computation, 2020, 49(1): 79-94.

Examples

#get dataset from package
data(crossdata)
#
#if there exist differences at 1 year or 3 years
  #Gaynor
fixpoint(crossdata$time, crossdata$status, crossdata$group, timepoint=1, type=1)
  #Aalen
fixpoint(crossdata$time, crossdata$status, crossdata$group, timepoint=3, type=2)

Example output

The estimation of CIFs at the timepoint (timepoint) =1


         method est0     var0 est1     var1 statistic       Pvalue
1          Line 0.08 0.000819 0.33 0.002275  20.20039 6.973879e-06
2           Log 0.08 0.000819 0.33 0.002275  13.48974 2.398710e-04
3       Cloglog 0.08 0.000819 0.33 0.002275  18.29505 1.891985e-05
4 Arcsin-square 0.08 0.000819 0.33 0.002275  19.74940 8.828958e-06
5         Logit 0.08 0.000819 0.33 0.002275  15.20926 9.623043e-05
The estimation of CIFs at the timepoint (timepoint) =3


         method est0        var0 est1        var1 statistic    Pvalue
1          Line 0.73 0.001969542 0.63 0.002332361  2.324552 0.1273468
2           Log 0.73 0.001969542 0.63 0.002332361  2.267426 0.1321192
3       Cloglog 0.73 0.001969542 0.63 0.002332361  2.273885 0.1315697
4 Arcsin-square 0.73 0.001969542 0.63 0.002332361  2.310849 0.1284738
5         Logit 0.73 0.001969542 0.63 0.002332361  2.283825 0.1307291

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