| Fixpoint.test {ComparisonSurv} | R Documentation |
Statistical inference methods for testing at a fixed time point
Description
A function used to produce the results of various statistical inference methods for testing at a fixed time point.
Usage
Fixpoint.test(time, status, group, t0)
Arguments
time |
The follow up time for right censored data. |
status |
The status indicator, normally 1=event, 0=alive or right censored. |
group |
The group indicator for comparison, and the elements of this vector must take either 0 or 1. Normally, 0= control group, 1= treatment group. |
t0 |
The fixed time point for testing. |
Value
A list containing the following components:
est.g0 |
The estimation of survival rates at the fixed timepoint for control group. |
est.g1 |
The estimation of survival rates at the fixed timepoint for treatment group. |
test |
The results of statistical inference at the fixed timepoint. |
method |
Containing 5 types of statistical inference methods: naive, log, cloglog, arcsin, and logist. See more details in references. |
t0 |
The prespecified fixed time point. |
est |
The survival rate at the prespecified timepoint. |
lower.95.CI |
The lower 95 percent pointwise confidence interval for the survival function. |
upper.95.CI |
The upper 95 percent pointwise confidence interval for the survival function. |
statistic |
The statistics of corresponding methods. |
pvalue |
The test P value of corresponding methods. |
References
[1]Klein JP, Logan B, Harhoff M, et al. Analyzing survival curves at a fixed point in time. Statistics in Medicine, 2007, 26(24):4505-4519.
[2]Anderson JR, Pike LBC. Approximate Confidence Intervals for Probabilities of Survival and Quantiles in Life-Table Analysis. Biometrics, 1982, 38(2):407-416.
Examples
#get 'Crossdata' from package
data(Crossdata)
data1<-Crossdata
#
#if there exist differences at 6 months and 12 months
Fixpoint.test(data1$time,data1$status,data1$group,t0=0.5)
Fixpoint.test(data1$time,data1$status,data1$group,t0=1)