| tvef.zero.time {surtvep} | R Documentation | 
testing the significance of the covariates from a coxtv or coxtp object using a Wald test statistic
Description
Testing the significance of the covariates at each time point.
Usage
tvef.zero.time(fit, time, parm)
Arguments
fit | 
 fitted   | 
time | 
 the time points to test if the covariate is significant or not.  | 
parm | 
 the names of parameters to be tested.  | 
Value
tvef.zero.time produces a list of length nvars. Each element of the list is a matrix with respect to a
covariate. The matrix is of dimension len_unique_t by 4, where len_unique_t is the length of unique observed event time.
Each row corresponds to the testing result at that time.  The four
columns give the estimations, standard error, test-statistic and  P-value.
See Also
Examples
data(ExampleData)
z <- ExampleData$z
time  <- ExampleData$time
event <- ExampleData$event
fit   <- coxtv(event = event, z = z, time = time)
test  <- tvef.zero.time(fit)
[Package surtvep version 1.0.0 Index]